Instructions to use CLMBR/old-rel-cl-lstm-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/old-rel-cl-lstm-3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/old-rel-cl-lstm-3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from CLMBR/old-rel-cl-lstm-3: direct link, hf CLI and curl.
- Browser
- Download file 4.22 kB
-
https://huggingface.co/CLMBR/old-rel-cl-lstm-3/resolve/main/training_args.bin
- Command line
-
hf download hf://CLMBR/old-rel-cl-lstm-3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/CLMBR/old-rel-cl-lstm-3/resolve/main/training_args.bin
4.22 kB
- Xet hash:
- 2d1733b75ee4bd57a6ee0b539b3e84a87d877cfcd0c6ce3ff4cf5eaa11cde05e
- Size of remote file:
- 4.22 kB
- SHA256:
- 48bf3c2dc4506be358554e5547ca5579bf143933596c58a427b11824c7847ec4
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