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-76320/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-76320/optimizer.pt
- Command line
-
hf download hf://CLMBR/binding-case-lstm-4/checkpoint-76320/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CLMBR/binding-case-lstm-4/resolve/main/checkpoint-76320/optimizer.pt
544 MB
- Xet hash:
- 3a6e9cfd70294a0ee3a63ed5d3ff1ff03cb628b89f745f54ff0eb285ddaad2ff
- Size of remote file:
- 544 MB
- SHA256:
- c092907c325ede28f448ace0fa097fb413614a836076392d737b74c33f14edd9
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