Instructions to use CLMBR/old-rel-cl-lstm-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/old-rel-cl-lstm-4 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/old-rel-cl-lstm-4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from CLMBR/old-rel-cl-lstm-4: direct link, hf CLI and curl.
- Browser
- Download file 4.22 kB
-
https://huggingface.co/CLMBR/old-rel-cl-lstm-4/resolve/main/training_args.bin
- Command line
-
hf download hf://CLMBR/old-rel-cl-lstm-4/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/CLMBR/old-rel-cl-lstm-4/resolve/main/training_args.bin
4.22 kB
- Xet hash:
- 69c91f238aab361680dafde09186b2af4e1a49e2d9339bb090983ddac8355711
- Size of remote file:
- 4.22 kB
- SHA256:
- e70f4cc6082acd9ce1e8f4ad4e8408f057e58c3a043ca3a36f2aa388963a5658
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