Instructions to use CLMBR/old-rel-cl-lstm-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/old-rel-cl-lstm-3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/old-rel-cl-lstm-3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-2594864/pytorch_model.bin from CLMBR/old-rel-cl-lstm-3: direct link, hf CLI and curl.
- Browser
- Download file 272 MB
-
https://huggingface.co/CLMBR/old-rel-cl-lstm-3/resolve/main/checkpoint-2594864/pytorch_model.bin
- Command line
-
hf download hf://CLMBR/old-rel-cl-lstm-3/checkpoint-2594864/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/CLMBR/old-rel-cl-lstm-3/resolve/main/checkpoint-2594864/pytorch_model.bin
272 MB
- Xet hash:
- 008e80d26fa677b5fa18d5e1e8e5e33224bccc900cdfd7e0398209efba3ec824
- Size of remote file:
- 272 MB
- SHA256:
- 1f2603c1761102be02c5e42b6b3417e0e155ac8ecd5daedc4fe5b0e7d733fcab
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