Instructions to use nhatminh/e5-large-add-token with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nhatminh/e5-large-add-token with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="nhatminh/e5-large-add-token")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("nhatminh/e5-large-add-token") model = AutoModel.from_pretrained("nhatminh/e5-large-add-token", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from nhatminh/e5-large-add-token: direct link, hf CLI and curl.
- Browser
- Download file 18.9 MB
-
https://huggingface.co/nhatminh/e5-large-add-token/resolve/main/tokenizer.json
- Command line
-
hf download hf://nhatminh/e5-large-add-token/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/nhatminh/e5-large-add-token/resolve/main/tokenizer.json
18.9 MB
- Xet hash:
- e3511ec4deb00b49353b3537ebe65eff3251603720f59478dc997688639c18af
- Size of remote file:
- 18.9 MB
- SHA256:
- 6737dcbafc6c8792171922f68b169fb599c11999c29ff7c87a26032bdf8d026b
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