我们在第一次执行BertTokenizer和BertModel中的某个模型的from_pretrained函数的时候,将会自动下载预训练模型的相关文件。Linux中默认下载到~/.cache/huggingface/transformers中。 代码如下: fromtransformersimportBertTokenizer, BertModel tokenizer = BertTokenizer.from_pretrained("bert-base-uncased") model = BertMode...
git clone https://huggingface.co/bert-base-uncased and from huggingface_hub import snapshot_download snapshot_download(repo_id="bert-base-uncased") But nothing seems to work and I am getting the https connection error. "HTTPSConnectionPool(host='huggingface.co', port=443): Max retries exceede...
max_length=5，max_length指定标记化文本**的长度。默认情况下，BERT执行单词片段标记化。例如，单词“p...
I am referring to themodel. I am fine tuning that model. Before fine tuning I could usepipelineas below fromtransformersimportAutoTokenizer model_check ="distilbert-base-uncased"tokenizer = AutoTokenizer.from_pretrained(model_check)fromtransformersimportpipelinefromtransformersimportAuto...
OSError: Can't load config for 'bert-base-uncased'. Make sure that: - 'bert-base-uncased' is a correct model identifier listed on 'https://huggingface.co/models' - or 'bert-base-uncased' is the correct path to a directory containing a config.json file ...
When I used "BertModel.from_pretrained", it would show "raise EnvironmentError( OSError: Can't load the model for 'bert-base-uncased'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make...
bert-base-uncased roberta-large-pytorchmodel.bin 1.3GB roberta-large-openai-detector-pytorchmodel.bin 1.3GB roberta-large-mnli-pytorchmodel.bin 1.3GB roberta-base-pytorchmodel.bin 478.0MB roberta-base-openai-detector-pytorchmodel.bin 477.8MB gpt2-xl-pytorchmodel.zip 1.9GB gpt2-xl-pytorchmodel.z01...
HTTPError: 403 Client Error: Forbidden for url:https://huggingface.co/bert-base-uncased/resolve/main/config.json During handling of the above exception, another exception occurred: OSError Traceback (most recent call last) /usr/local/lib/python3.7/dist-packages/transformers/configuration_utils.py ...
🐛 Bug/Question Information am trying to execute : **import ktrain from ktrain import text MODEL_NAME='distilbert-base-uncased' t=text.Transformer(MODEL_NAME, maxlen=500, classes=np.unique(y_train))** I get the following error: OSError: M...
Model name 'bert-base-uncased' was not found in model name list (bert-base-cased, bert-large-uncased, bert-large-cased, bert-base-multilingual-cased, bert-base-chinese, bert-base-uncased, bert-base-multilingual-uncased). We assumed 'https://s3.amazonaws.com/models.huggingface.co/bert/bert...