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-992160/training_args.bin from CLMBR/binding-reconstruction-lstm-1: direct link, hf CLI and curl.
- Browser
- Download file 4.28 kB
-
https://huggingface.co/CLMBR/binding-reconstruction-lstm-1/resolve/main/checkpoint-992160/training_args.bin
- Command line
-
hf download hf://CLMBR/binding-reconstruction-lstm-1/checkpoint-992160/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/CLMBR/binding-reconstruction-lstm-1/resolve/main/checkpoint-992160/training_args.bin
4.28 kB
- Xet hash:
- 8c39f52293ed981035e3f161eb735b5b97aecc12b76359304b0575ed6b91e72f
- Size of remote file:
- 4.28 kB
- SHA256:
- 53ece8ef090f878a7a033ce1cdbdf8fce55a5051946040bd460c27aa84987bd6
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