Instructions to use CLMBR/pp-mod-subj-lstm-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/pp-mod-subj-lstm-0 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/pp-mod-subj-lstm-0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-76320/training_args.bin from CLMBR/pp-mod-subj-lstm-0: direct link, hf CLI and curl.
- Browser
- Download file 4.22 kB
-
https://huggingface.co/CLMBR/pp-mod-subj-lstm-0/resolve/main/checkpoint-76320/training_args.bin
- Command line
-
hf download hf://CLMBR/pp-mod-subj-lstm-0/checkpoint-76320/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/CLMBR/pp-mod-subj-lstm-0/resolve/main/checkpoint-76320/training_args.bin
4.22 kB
- Xet hash:
- 341957a4db37c5ad529d8d4fc4045b4b4f619e16bfe38d89177344eb8b4e6817
- Size of remote file:
- 4.22 kB
- SHA256:
- 20cbbdc3ac7911e32e935f13de20ee708d350df95be4272b5adaa80da2f22067
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