You model cannot be used properly?
If I load you model according to the given download link and added into utils.datasets as elif (model_name == 'bert_large_cased_mix5'): self.config_path = r'./models/BERT-Large-Mix5-5M/bert_config.json' self.checkpoint_path = r'./models/BERT-Large-Mix5-5M/model.ckpt-5000000.data-00000-of-00001' self.dict_path = r'./models/BERT-Large-Mix5-5M/vocab.txt'
it report error elif (model_name == 'bert_large_cased_mix5'): self.config_path = r'/media/server01/sda2/zixiao/SAwithTime/code/zsl_nli_emotion_prompts-main/code/sota/Prompts4Keras-main/models/BERT-Large-Mix5-5M/bert_config.json' self.checkpoint_path = r'/media/server01/sda2/zixiao/SAwithTime/code/zsl_nli_emotion_prompts-main/code/sota/Prompts4Keras-main/models/BERT-Large-Mix5-5M/model.ckpt-5000000.data-00000-of-00001' self.dict_path = r'/media/server01/sda2/zixiao/SAwithTime/code/zsl_nli_emotion_prompts-main/code/sota/Prompts4Keras-main/models/BERT-Large-Mix5-5M/vocab.txt'
If I loaded from transformers (I am not sure whether I did it correctly. Please check it for me)
`from transformers import AutoModel, AutoTokenizer
transfomer = "sunyilgdx/bert_large_cased_mix5"
bert_model = AutoModel.from_pretrained(transfomer)
tokenizer = AutoTokenizer.from_pretrained(transfomer)`
it report error OSError: sunyilgdx/bert_large_cased_mix5 does not appear to have a file named config.json. Checkout 'https://huggingface.co/sunyilgdx/bert_large_cased_mix5/main' for available files.
how to fix it?
can you give a nsp_classification.py which already contains the codes that loaded your model?
thank you
You model cannot be used properly?
If I load you model according to the given download link and added into utils.datasets as
elif (model_name == 'bert_large_cased_mix5'): self.config_path = r'./models/BERT-Large-Mix5-5M/bert_config.json' self.checkpoint_path = r'./models/BERT-Large-Mix5-5M/model.ckpt-5000000.data-00000-of-00001' self.dict_path = r'./models/BERT-Large-Mix5-5M/vocab.txt'it report error
elif (model_name == 'bert_large_cased_mix5'): self.config_path = r'/media/server01/sda2/zixiao/SAwithTime/code/zsl_nli_emotion_prompts-main/code/sota/Prompts4Keras-main/models/BERT-Large-Mix5-5M/bert_config.json' self.checkpoint_path = r'/media/server01/sda2/zixiao/SAwithTime/code/zsl_nli_emotion_prompts-main/code/sota/Prompts4Keras-main/models/BERT-Large-Mix5-5M/model.ckpt-5000000.data-00000-of-00001' self.dict_path = r'/media/server01/sda2/zixiao/SAwithTime/code/zsl_nli_emotion_prompts-main/code/sota/Prompts4Keras-main/models/BERT-Large-Mix5-5M/vocab.txt'If I loaded from transformers (I am not sure whether I did it correctly. Please check it for me)
`from transformers import AutoModel, AutoTokenizer
transfomer = "sunyilgdx/bert_large_cased_mix5"
bert_model = AutoModel.from_pretrained(transfomer)
tokenizer = AutoTokenizer.from_pretrained(transfomer)`
it report error
OSError: sunyilgdx/bert_large_cased_mix5 does not appear to have a file named config.json. Checkout 'https://huggingface.co/sunyilgdx/bert_large_cased_mix5/main' for available files.how to fix it?
can you give a
nsp_classification.pywhich already contains the codes that loaded your model?thank you