Instructions to use CLMBR/binding-domain-lstm-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/binding-domain-lstm-4 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/binding-domain-lstm-4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-1984320/pytorch_model.bin from CLMBR/binding-domain-lstm-4: direct link, hf CLI and curl.
- Browser
- Download file 272 MB
-
https://huggingface.co/CLMBR/binding-domain-lstm-4/resolve/main/checkpoint-1984320/pytorch_model.bin
- Command line
-
hf download hf://CLMBR/binding-domain-lstm-4/checkpoint-1984320/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/CLMBR/binding-domain-lstm-4/resolve/main/checkpoint-1984320/pytorch_model.bin
272 MB
- Xet hash:
- 034f6192a02eebbf4ff616b76c5ee7a2c47fecb972f826f4f821f26abd1a3473
- Size of remote file:
- 272 MB
- SHA256:
- 030417776bd6e2970e83fbdb6d36e3006a3189c2f77e6f363abd288089dc22ac
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