Instructions to use CLMBR/binding-case-lstm-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/binding-case-lstm-1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/binding-case-lstm-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-1908000/optimizer.pt from CLMBR/binding-case-lstm-1: direct link, hf CLI and curl.
- Browser
- Download file 544 MB
-
https://huggingface.co/CLMBR/binding-case-lstm-1/resolve/main/checkpoint-1908000/optimizer.pt
- Command line
-
hf download hf://CLMBR/binding-case-lstm-1/checkpoint-1908000/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CLMBR/binding-case-lstm-1/resolve/main/checkpoint-1908000/optimizer.pt
544 MB
- Xet hash:
- 33b06527111cf9b35402500ccb34a0897ac09becd4e4fea4268d7fab015e01e3
- Size of remote file:
- 544 MB
- SHA256:
- 8187dfc9e11aef92a94cc49fc6983e103b5d1a2a092ef9007fe03afcd229d654
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