Then you can load the model usingmodel = BertModel.from_pretrained('path/to/your/directory') For posterity, those who get errors because of missing vocab.txt despite doing above, you can get it athttps://s3.amazonaws.com/models.huggingface.co/bert/bert-base-uncased-vocab.txtand also renam...
downloading https://huggingface.co/Xenova/nllb-200-distilled-600M/resolve/bfaad393bfa9f83f73fb0ddaeb21f42d3323e821/onnx/decoder_with_past_model.onnx to C:\Users\MY-USER\.cache\huggingface\hub\tmpsgd9apkc (and so on, can't post more than 8 links) Second: manually create command for...
Describe the bug I tied to download a new model which is visible in huggingface: bigcode/starcoder But failed due to the "Unauthorized". I have a access token from hugginface how can I add it to the downlaod_model.py File “/home/ahnlab/G...
I've solved it! Here's the reason: When the load_dataset method of Hugging Face loads a JSONL file, it automatically caches related files in the .cache/huggingface/datasets/json directory. However, the physical machine's root disk space is insufficient, causing both dockers to fai...
//invest.bnpparibas.com/documents/4q17-pr",# MD"https://raw.githubusercontent.com/cdqa-suite/cdQA/master/README.md","https://raw.githubusercontent.com/huggingface/pytorch-transformers/master/docs/source/quickstart.md","https://raw.githubusercontent.com/huggingface/pytorch-transformers/master/...
//invest.bnpparibas.com/documents/4q17-pr",# MD"https://raw.githubusercontent.com/cdqa-suite/cdQA/master/README.md","https://raw.githubusercontent.com/huggingface/pytorch-transformers/master/docs/source/quickstart.md","https://raw.githubusercontent.com/huggingface/pytorch-transformers/master/...
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from huggingface_hub import hf_hub_download from ..consts import MODEL_VERSION, MODEL_CONFIGS, AVAILABLE_MODELS @@ -130,13 +133,13 @@ def check_sha1(filename, sha1_hash): def download(url, path=None, overwrite=False, sha1_hash=None): """Download an given URL """Download a given ...
//s3.amazonaws.com/models.huggingface.co/bert/bert-base-cased-pytorch_model.bin", "bert-large-cased": "https://s3.amazonaws.com/models.huggingface.co/bert/bert-large-cased-pytorch_model.bin", "bert-base-multilingual-uncased": "https://s3.amazonaws.com/models.huggingface.co/bert/bert-...
- '/bert-base-nli-mean-tokens' is a correct model identifier listed on 'https://huggingface.co/models' - or '/bert-base-nli-mean-tokens' is the correct path to a directory containing a config.json You can download and load the model like this ...