huggingface-cli download bert-base-uncased --exclude "*.msgpack" "*.onnx" "*.bin" "*.ot" "*.h5" # 或简单写法 huggingface-cli download bert-base-uncased --exclude *.msgpack *.onnx *.bin *.ot *.h5 思路 具体的huggingface-cli相关代码,在Github上 huggingface_hub仓库 /src/huggingface_hub...
|--->bert-base-uncased 下载好的bert-base-uncased预训练模型的文件,放在名为bert-base-uncased文件夹下 |--->run.py 加载执行预训练模型的文件 run.py代码如下: fromtransformersimportBertTokenizer, BertModel tokenizer = BertTokenizer.from_pretrained("./bert-base-uncased") model = BertModel.from_pretra...
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 excee...
然后下载模型: huggingface-cli download --resume-download AAA/BBB AAA/BBB是HugglingFace官网复制的模型的名字,比如说hfl/rbt3或者distilbert/distilbert-base-uncased-finetuned-sst-2-english之类的。 也可以使用--local-dir指定下载路径。 然后调用模型就是按照官网教的方式: # 使用Auto方法 from transformers ...
To download models from 🤗Hugging Face, you can use the official CLI toolhuggingface-clior the Python methodsnapshot_downloadfrom thehuggingface_hublibrary. Usinghuggingface-cli: To download the "bert-base-uncased" model, simply run: $ huggingface-cli download bert-base-uncased ...
huggingface-cli download internlm/internlm2-chat-7b 如果觉得下载比较慢，可以参考HF_HUB_ENABLE_HF_...
Hi, I m having this error suddenly this afternoon. It was all okay before for days. It happens in local machine, Colab and also to my colleagues. I can access this file in browserhttps://huggingface.co/bert-base-uncased/resolve/main/config.jsonno problem. Btw, I m from Singapore. Any...
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 ...
还有一些常用的HF的模型在这里附上:包含有LLMA、bert-base-uncased、gpt2等系列 链接：https://pan....
from huggingface_hub import hf_hub_download model_name = "bert-base-uncased" filename = "pytorch_model.bin" # 你需要下载的文件名 # 下载模型文件 model_path = hf_hub_download(repo_id=model_name, filename=filename) print("Model downloaded to:", model_path)相关...