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-76320/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-76320/optimizer.pt
- Command line
-
hf download hf://CLMBR/binding-case-lstm-1/checkpoint-76320/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CLMBR/binding-case-lstm-1/resolve/main/checkpoint-76320/optimizer.pt
544 MB
- Xet hash:
- db4793f219e171e5b8dcfe70c3bb3af31e2f219bfade3acf048302d343fc0046
- Size of remote file:
- 544 MB
- SHA256:
- 2ee6c9a932c89c8f4165f52a4b35aa058bdce8b36520c8f6ef89281f5315a886
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