Instructions to use reSearch2vec/NLR_cs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use reSearch2vec/NLR_cs with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import TFAutoModel model = TFAutoModel.from_pretrained("reSearch2vec/NLR_cs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from reSearch2vec/NLR_cs: direct link, hf CLI and curl.
- Browser
- Download file 440 MB
-
https://huggingface.co/reSearch2vec/NLR_cs/resolve/main/tf_model.h5
- Command line
-
hf download hf://reSearch2vec/NLR_cs/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/reSearch2vec/NLR_cs/resolve/main/tf_model.h5
440 MB
- Xet hash:
- cef03e5ac8b2447fba8f2f658da3150c2b8b84e2be9ffe850cb9b688e0c8e7a1
- Size of remote file:
- 440 MB
- SHA256:
- 334a39ff6420a0af9433e103788f3cefef44e34cc0a8e69014bfb50328325bb6
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