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Bookmark or Share- Getting sentence embedding from huggingface Feature Extraction PipelineIf you want to get meaningful embedding of whole sentence, please use SentenceTransformers. Pooling is well implemented in it and it also provides various APIs to Fine Tune models to produce features/embeddings at sentence/text-chunk level
- Remove downloaded tensorflow and pytorch(Hugging face) modelsenglish-gpt2 = your downloaded model name. from that path you can manually delete. That is not what the OP is looking for as it will remove all libraries and does not clear the default cache. As far as I have experienced, if you save it (huggingface-gpt-2 model, it is not on cache but on disk.
- How to change huggingface transformers default cache directoryOn Windows, the default directory is given by C:\Users\username\.cache\huggingface\hub. You can change the shell environment variables shown below - in order of priority - to specify a different cache directory: Shell environment variable (default): HUGGINGFACE_HUB_CACHE or TRANSFORMERS_CACHE.
- Huggingface: How do I find the max length of a model?Suppose BertTokenizer, we have: tokenizer=BertTokenizer.from_pretrained (model_path) print (tokenizer.max_model_input_sizes) The above code will give you a dictionary of all the Bert model checkpoints with their 'max_length'. edited Oct 19, 2023 at 21:47. answered Oct 19, 2023 at 21:44. Ali Haghighat.
- Where does hugging face's transformers save models?Update 2023-05-02: The cache location has changed again, and is now ~/.cache/huggingface/hub/, as reported by @Victor Yan. Notably, the sub folders in the hub/ directory are also named similar to the cloned model path, instead of having a SHA hash, as in previous versions.
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