Instructions to use CLMBR/binding-case-lstm-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/binding-case-lstm-4 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/binding-case-lstm-4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-992160/optimizer.pt from CLMBR/binding-case-lstm-4: direct link, hf CLI and curl.
- Browser
- Download file 544 MB
-
https://huggingface.co/CLMBR/binding-case-lstm-4/resolve/main/checkpoint-992160/optimizer.pt
- Command line
-
hf download hf://CLMBR/binding-case-lstm-4/checkpoint-992160/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CLMBR/binding-case-lstm-4/resolve/main/checkpoint-992160/optimizer.pt
544 MB
- Xet hash:
- 2af83290d1f7d93437492e6e84769c8f2b01fc69c18fddcfd2e48afaae14e21b
- Size of remote file:
- 544 MB
- SHA256:
- 212a287136f3b7a73eebe961dc9639e23c66fd8eae913d0a3e382ec462a9f992
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