Instructions to use CLMBR/old-pp-mod-subj-lstm-3 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-3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/old-pp-mod-subj-lstm-3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-1831663/pytorch_model.bin from CLMBR/old-pp-mod-subj-lstm-3: direct link, hf CLI and curl.
- Browser
- Download file 272 MB
-
https://huggingface.co/CLMBR/old-pp-mod-subj-lstm-3/resolve/main/checkpoint-1831663/pytorch_model.bin
- Command line
-
hf download hf://CLMBR/old-pp-mod-subj-lstm-3/checkpoint-1831663/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/CLMBR/old-pp-mod-subj-lstm-3/resolve/main/checkpoint-1831663/pytorch_model.bin
272 MB
- Xet hash:
- bbb903515a7fe99a9cc4fba403c08bbc254506c0e7dbce7093742b4362be8ddf
- Size of remote file:
- 272 MB
- SHA256:
- d947d53f957b267d206be841252a38da2aa3c09358770dcccb5a9b8ee8b875e2
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