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 checkpoint-1297429/pytorch_model.bin from CLMBR/old-pp-mod-subj-lstm-1: direct link, hf CLI and curl.
- Browser
- Download file 272 MB
-
https://huggingface.co/CLMBR/old-pp-mod-subj-lstm-1/resolve/main/checkpoint-1297429/pytorch_model.bin
- Command line
-
hf download hf://CLMBR/old-pp-mod-subj-lstm-1/checkpoint-1297429/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/CLMBR/old-pp-mod-subj-lstm-1/resolve/main/checkpoint-1297429/pytorch_model.bin
272 MB
- Xet hash:
- e338bbc128988300918ab39e359e441b16c63ce651abb0bb7820e195d1c0f24e
- Size of remote file:
- 272 MB
- SHA256:
- 1f210ac8d88d8b7ba3d9f015ab3f4133786352c0beba2f41ce78080f82b009c3
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