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- How to download a model from huggingface? - Stack Overflow
from huggingface_hub import snapshot_download snapshot_download(repo_id="bert-base-uncased") These tools make model downloads from the Hugging Face Model Hub quick and easy For more information and advanced usage, you can refer to the official Hugging Face documentation: huggingface-cli Documentation snapshot_download Documentation
- How to do Tokenizer Batch processing? - HuggingFace
in the Tokenizer documentation from huggingface, the call fuction accepts List[List[str]] and says: text (str, List[str], List[List[str]], optional) — The sequence or batch of sequences to be encoded Each sequence can be a string or a list of strings (pretokenized string)
- Load a pre-trained model from disk with Huggingface Transformers . . .
I went to this site here which shows the directory tree for the specific huggingface model I wanted I happened to want the uncased model, but these steps should be similar for your cased version Also note that my link is to a very specific commit of this model, just for the sake of reproducibility - there will very likely be a more up-to-date
- huggingface hub - ImportError: cannot import name cached_download . . .
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- Offline using cached models from huggingface pretrained
HuggingFace includes a caching mechanism Whenever you load a model, a tokenizer, or a dataset, the files are downloaded and kept in a local cache for further utilization
- How to push a model checkpoint to Huggingface? - Stack Overflow
I finished training my model, and didn't know that I need to change the training args to have push_to_hub=True
- How to add new tokens to an existing Huggingface tokenizer?
Thanks for this very comprehensive response Two comments : 1 for two examples above "Extending existing AutoTokenizer with new bpe-tokenized tokens" and "Direct Answer to OP", you did not resize embeddings, is that an oblivion or is it intended ? 2 After the embeddings have been resized, am I right that the model + tokenizer thus made needs to be fine-tuned because the new embeddings have
- How to load a huggingface dataset from local path?
the data I using huggingface-cli downloaded to local, it's from: huggingface-cli download --repo-type dataset merve vqav2-small --local-dir vqav2-small So, you can obviously observe the pattern how it is loaded from local The data under data is all parquet files
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