Add fallback "Click here to deploy"

Author: harper-carroll

README.md

@@ -50,7 +50,7 @@
     "\n",
     "Click the badge below to get your preconfigured instance:\n",
     "\n",
-    "[![](https://uohmivykqgnnbiouffke.supabase.co/storage/v1/object/public/landingpage/brevdeploynavy.svg)](https://console.brev.dev/environment/new?instance=A10G:g5.xlarge&diskStorage=120&name=controlnet&file=https://github.com/brevdev/notebooks/raw/main/controlnet.ipynb&python=3.10&cuda=12.0.1)\n",
+    "[![ Click here to deploy.](https://uohmivykqgnnbiouffke.supabase.co/storage/v1/object/public/landingpage/brevdeploynavy.svg)](https://console.brev.dev/environment/new?instance=A10G:g5.xlarge&diskStorage=120&name=controlnet&file=https://github.com/brevdev/notebooks/raw/main/controlnet.ipynb&python=3.10&cuda=12.0.1)\n",
     "\n",
     "Once you've checked out your machine and landed in your instance page, select the specs you'd like (I used **Python 3.10 and CUDA 12.0.1**; these should be preconfigured for you if you use the badge above) and click the \"Build\" button to build your verb container. Give this a few minutes.\n",
     "\n",

automatic1111-stable-diffusion-ui.ipynb

@@ -38,7 +38,7 @@
     "\n",
     "I used a GPU and dev environment from [brev.dev](https://brev.dev). Click the badge below to get your preconfigured instance:\n",
     "\n",
-    "[![](https://uohmivykqgnnbiouffke.supabase.co/storage/v1/object/public/landingpage/brevdeploynavy.svg)](https://console.brev.dev/environment/new?instance=A10G:g5.xlarge&diskStorage=256&name=gguf-export&file=https://github.com/brevdev/notebooks/raw/main/gguf-export.ipynb&python=3.10&cuda=12.0.1)\n",
+    "[![ Click here to deploy.](https://uohmivykqgnnbiouffke.supabase.co/storage/v1/object/public/landingpage/brevdeploynavy.svg)](https://console.brev.dev/environment/new?instance=A10G:g5.xlarge&diskStorage=256&name=gguf-export&file=https://github.com/brevdev/notebooks/raw/main/gguf-export.ipynb&python=3.10&cuda=12.0.1)\n",
     "\n",
     "Once you've checked out your machine and landed in your instance page, select the specs you'd like (I used Python 3.10 and CUDA 12.0.1; these should be preconfigured for you if you use the badge above) and click the \"Build\" button to build your verb container. Give this a few minutes.\n",
     "\n",

controlnet.ipynb

@@ -34,7 +34,7 @@
     "\n",
     "Click the badge below to get a preconfigured instance:\n",
     "\n",
-    "[![](https://uohmivykqgnnbiouffke.supabase.co/storage/v1/object/public/landingpage/brevdeploynavy.svg)](https://console.brev.dev/environment/new?instance=A10G:g5.xlarge&diskStorage=256&name=julia-install&file=https://github.com/brevdev/notebooks/raw/main/julia-install.ipynb&python=3.10&cuda=12.1.1)\n",
+    "[![ Click here to deploy.](https://uohmivykqgnnbiouffke.supabase.co/storage/v1/object/public/landingpage/brevdeploynavy.svg)](https://console.brev.dev/environment/new?instance=A10G:g5.xlarge&diskStorage=256&name=julia-install&file=https://github.com/brevdev/notebooks/raw/main/julia-install.ipynb&python=3.10&cuda=12.1.1)\n",
     "\n",
     "This is for a A10G GPU. You can swap out this machine, or toggle on the \"CPU\" option if you don't need a GPU.\n",
     "\n",

gguf-export.ipynb

@@ -51,7 +51,7 @@
     "\n",
     "I used a GPU and dev environment from [brev.dev](https://brev.dev). Click the badge below to get your preconfigured instance:\n",
     "\n",
-    "[![](https://uohmivykqgnnbiouffke.supabase.co/storage/v1/object/public/landingpage/brevdeploynavy.svg)](https://console.brev.dev/environment/new?instance=A10G:g5.xlarge&diskStorage=256&name=llama2-finetune-own-data&file=https://github.com/brevdev/notebooks/raw/main/llama2-finetune-own-data.ipynb&python=3.10&cuda=12.0.1)\n",
+    "[![ Click here to deploy.](https://uohmivykqgnnbiouffke.supabase.co/storage/v1/object/public/landingpage/brevdeploynavy.svg)](https://console.brev.dev/environment/new?instance=A10G:g5.xlarge&diskStorage=256&name=llama2-finetune-own-data&file=https://github.com/brevdev/notebooks/raw/main/llama2-finetune-own-data.ipynb&python=3.10&cuda=12.0.1)\n",
     "\n",
     "The whole thing cost me $1 using this instance. A single A10G (as linked) or L4 should be enough for this dataset; anything with >= 24GB GPU Memory. You may need more GPUs and/or Memory if your sequence max_length is larger than 512.\n",
     "\n",

julia-install.ipynb

@@ -59,7 +59,7 @@
     "\n",
     "I used a GPU and dev environment from [brev.dev](https://brev.dev). The whole thing cost me $1 using a 1xA10G 24GB. Click the badge below to get your preconfigured instance:\n",
     "\n",
-    "[![](https://uohmivykqgnnbiouffke.supabase.co/storage/v1/object/public/landingpage/brevdeploynavy.svg)](https://console.brev.dev/environment/new?instance=A10G:g5.xlarge&diskStorage=256&name=llama2-finetune-own-data&file=https://github.com/brevdev/notebooks/raw/main/llama2-finetune-own-data.ipynb&python=3.10&cuda=12.0.1)\n",
+    "[![ Click here to deploy.](https://uohmivykqgnnbiouffke.supabase.co/storage/v1/object/public/landingpage/brevdeploynavy.svg)](https://console.brev.dev/environment/new?instance=A10G:g5.xlarge&diskStorage=256&name=llama2-finetune-own-data&file=https://github.com/brevdev/notebooks/raw/main/llama2-finetune-own-data.ipynb&python=3.10&cuda=12.0.1)\n",
     "\n",
     "A single A10G (as linked) or L4 should be enough for this dataset; anything with >= 24GB GPU Memory. You may need more GPUs and/or Memory if your sequence max_length is larger than 512.\n",
     "\n",

llama2-finetune-own-data.ipynb

@@ -57,7 +57,7 @@
         "\n",
         "I used a GPU and dev environment from [brev.dev](https://brev.dev). The whole thing cost me $1 using a 1xA10G 24GB. Click the badge below to get your preconfigured instance:\n",
         "\n",
-        "[![](https://uohmivykqgnnbiouffke.supabase.co/storage/v1/object/public/landingpage/brevdeploynavy.svg)](https://console.brev.dev/environment/new?instance=A10G:g5.xlarge&diskStorage=256&name=mistral-finetune&file=https://github.com/brevdev/notebooks/raw/main/mistral-finetune.ipynb&python=3.10&cuda=12.0.1)\n",
+        "[![ Click here to deploy.](https://uohmivykqgnnbiouffke.supabase.co/storage/v1/object/public/landingpage/brevdeploynavy.svg)](https://console.brev.dev/environment/new?instance=A10G:g5.xlarge&diskStorage=256&name=mistral-finetune&file=https://github.com/brevdev/notebooks/raw/main/mistral-finetune.ipynb&python=3.10&cuda=12.0.1)\n",
         "\n",
         "A single A10G (as linked) or L4 should be enough for this dataset; anything with >= 24GB GPU Memory. You may need more GPUs and/or Memory if your sequence max_length is larger than 512.\n",
         "\n",

llama2-finetune.ipynb

@@ -48,7 +48,7 @@
     "\n",
     "I used a GPU and dev environment from [brev.dev](https://brev.dev). Click the badge below to get your preconfigured instance:\n",
     "\n",
-    "[![](https://uohmivykqgnnbiouffke.supabase.co/storage/v1/object/public/landingpage/brevdeploynavy.svg)](https://console.brev.dev/environment/new?instance=T4:g4dn.12xlarge&diskStorage=512&name=mixtral-finetune&file=https://github.com/brevdev/notebooks/raw/main/mixtral-finetune.ipynb&python=3.10&cuda=12.0.1)\n",
+    "[![ Click here to deploy.](https://uohmivykqgnnbiouffke.supabase.co/storage/v1/object/public/landingpage/brevdeploynavy.svg)](https://console.brev.dev/environment/new?instance=T4:g4dn.12xlarge&diskStorage=512&name=mixtral-finetune&file=https://github.com/brevdev/notebooks/raw/main/mixtral-finetune.ipynb&python=3.10&cuda=12.0.1)\n",
     "\n",
     "A 4xT4 (as linked) with 16 GPU Memory per GPU was enough for me. At the time of writing this, it costs $3.91/hour, and it trained for about 2 hours for 100 training steps. You may need more GPUs and/or Memory if your sequence max_length is larger than 320 (you'll read more about this below).\n",
     "\n",

mistral-finetune.ipynb

@@ -43,7 +43,7 @@
     "\n",
     "Click the badge below to get your preconfigured instance:\n",
     "\n",
-    "[![](https://uohmivykqgnnbiouffke.supabase.co/storage/v1/object/public/landingpage/brevdeploynavy.svg)](https://console.brev.dev/environment/new?instance=A10G:g5.xlarge&diskStorage=120&name=oobabooga&file=https://github.com/brevdev/notebooks/raw/main/oobabooga.ipynb&python=3.10&cuda=12.0.1)\n",
+    "[![ Click here to deploy.](https://uohmivykqgnnbiouffke.supabase.co/storage/v1/object/public/landingpage/brevdeploynavy.svg)](https://console.brev.dev/environment/new?instance=A10G:g5.xlarge&diskStorage=120&name=oobabooga&file=https://github.com/brevdev/notebooks/raw/main/oobabooga.ipynb&python=3.10&cuda=12.0.1)\n",
     "\n",
     "Once you've checked out your machine and landed in your instance page, select the specs you'd like (I used **Python 3.10 and CUDA 12.0.1**; these should be preconfigured for you if you use the badge above) and click the \"Build\" button to build your verb container. Give this a few minutes.\n",
     "\n",

mixtral-finetune.ipynb

@@ -48,7 +48,7 @@
     "\n",
     "Click the badge below to get your preconfigured instance:\n",
     "\n",
-    "[![](https://uohmivykqgnnbiouffke.supabase.co/storage/v1/object/public/landingpage/brevdeploynavy.svg)](https://console.brev.dev/environment/new?instance=A10G:g5.2xlarge&diskStorage=256&name=chatbot&file=https://github.com/brevdev/notebooks/raw/main/llama2-finetune.ipynb&python=3.10&cuda=12.0.1)\n",
+    "[![ Click here to deploy.](https://uohmivykqgnnbiouffke.supabase.co/storage/v1/object/public/landingpage/brevdeploynavy.svg)](https://console.brev.dev/environment/new?instance=A10G:g5.2xlarge&diskStorage=256&name=chatbot&file=https://github.com/brevdev/notebooks/raw/main/llama2-finetune.ipynb&python=3.10&cuda=12.0.1)\n",
     "\n",
     "Once you've checked out your machine and landed in your instance page, select the specs you'd like  (I used **Python 3.10 and CUDA 12.0.1**; these should be preconfigured for you if you use the badge above) and click the \"Build\" button to build your verb container. Give this a few minutes.\n",
     "\n",