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-839520/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-839520/optimizer.pt
- Command line
-
hf download hf://CLMBR/binding-case-lstm-4/checkpoint-839520/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CLMBR/binding-case-lstm-4/resolve/main/checkpoint-839520/optimizer.pt
544 MB
- Xet hash:
- 905cab57a33ba9b62b9be0a72a52ac2fcb3d54de93564ad1b1ada78227d00d16
- Size of remote file:
- 544 MB
- SHA256:
- 6ab4bc520d66b89030be2ab79da6e003e3cf1d1d05a99a0b5745bfe1b15e43ff
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