Instructions to use CLMBR/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/pp-mod-subj-lstm-3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/pp-mod-subj-lstm-3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-76320/training_args.bin from CLMBR/pp-mod-subj-lstm-3: direct link, hf CLI and curl.
- Browser
- Download file 4.22 kB
-
https://huggingface.co/CLMBR/pp-mod-subj-lstm-3/resolve/main/checkpoint-76320/training_args.bin
- Command line
-
hf download hf://CLMBR/pp-mod-subj-lstm-3/checkpoint-76320/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/CLMBR/pp-mod-subj-lstm-3/resolve/main/checkpoint-76320/training_args.bin
4.22 kB
- Xet hash:
- c67f498e09e6ce2d90b504a110ebcb471b2915b2394dcb5fb77ddf5799c74073
- Size of remote file:
- 4.22 kB
- SHA256:
- eda17161a1bbb2c425b3a3e90b1a4444d2f62dd4a9ca71f5cfff648fabb7fb04
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