Instructions to use CLMBR/binding-reconstruction-lstm-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/binding-reconstruction-lstm-1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/binding-reconstruction-lstm-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-1144800/pytorch_model.bin from CLMBR/binding-reconstruction-lstm-1: direct link, hf CLI and curl.
- Browser
- Download file 272 MB
-
https://huggingface.co/CLMBR/binding-reconstruction-lstm-1/resolve/main/checkpoint-1144800/pytorch_model.bin
- Command line
-
hf download hf://CLMBR/binding-reconstruction-lstm-1/checkpoint-1144800/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/CLMBR/binding-reconstruction-lstm-1/resolve/main/checkpoint-1144800/pytorch_model.bin
272 MB
- Xet hash:
- 998920c71922682b1287fb0e9a8d3bbc49942d031c04c23f6827520cdb119bf8
- Size of remote file:
- 272 MB
- SHA256:
- 6c107559da2c5b28fa33e86861c30469f80df6bafa076f6fff98c326442219d1
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