Instructions to use CLMBR/old-pp-mod-subj-lstm-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/old-pp-mod-subj-lstm-2 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/old-pp-mod-subj-lstm-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-76319/pytorch_model.bin from CLMBR/old-pp-mod-subj-lstm-2: direct link, hf CLI and curl.
- Browser
- Download file 272 MB
-
https://huggingface.co/CLMBR/old-pp-mod-subj-lstm-2/resolve/0157744e4cb12fbaf0cb9c4f86786575acd1cebd/checkpoint-76319/pytorch_model.bin
- Command line
-
hf download hf://CLMBR/old-pp-mod-subj-lstm-2@0157744e4cb12fbaf0cb9c4f86786575acd1cebd/checkpoint-76319/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/CLMBR/old-pp-mod-subj-lstm-2/resolve/0157744e4cb12fbaf0cb9c4f86786575acd1cebd/checkpoint-76319/pytorch_model.bin
272 MB
- Xet hash:
- cfc2d1dd93566377b75112a3c108dbcf43f91dce44a43179a92cf20c4b245c12
- Size of remote file:
- 272 MB
- SHA256:
- 2ba7f88092ba4c341143eb64721c3523dec6ff9b02c1bd10f00a0fd49a9075b6
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