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-152640/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-152640/pytorch_model.bin
- Command line
-
hf download hf://CLMBR/binding-domain-lstm-4/checkpoint-152640/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/CLMBR/binding-domain-lstm-4/resolve/main/checkpoint-152640/pytorch_model.bin
272 MB
- Xet hash:
- ac22c4827037bd58f755873efd37dac0b93fc29b21db88db4ed2ab0052a0dd72
- Size of remote file:
- 272 MB
- SHA256:
- de934312e8d748af77add0e82cf2ff4979ee354461e57c51e5b585d22beaf780
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