Instructions to use CLMBR/old-pp-mod-subj-lstm-1 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-1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/old-pp-mod-subj-lstm-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from CLMBR/old-pp-mod-subj-lstm-1: direct link, hf CLI and curl.
- Browser
- Download file 4.22 kB
-
https://huggingface.co/CLMBR/old-pp-mod-subj-lstm-1/resolve/main/training_args.bin
- Command line
-
hf download hf://CLMBR/old-pp-mod-subj-lstm-1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/CLMBR/old-pp-mod-subj-lstm-1/resolve/main/training_args.bin
4.22 kB
- Xet hash:
- ca0cfa43984f7e6580a5edce39f4c9680df92ef1a4928382b89d4e3e55d801a9
- Size of remote file:
- 4.22 kB
- SHA256:
- 81b5c4fad2a2eb992b895fae82b83cbb73ff5d0f1ee394e621166f11ff70e3c9
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