Instructions to use CLMBR/binding-case-lstm-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/binding-case-lstm-2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/binding-case-lstm-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-915840/optimizer.pt from CLMBR/binding-case-lstm-2: direct link, hf CLI and curl.
- Browser
- Download file 544 MB
-
https://huggingface.co/CLMBR/binding-case-lstm-2/resolve/main/checkpoint-915840/optimizer.pt
- Command line
-
hf download hf://CLMBR/binding-case-lstm-2/checkpoint-915840/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CLMBR/binding-case-lstm-2/resolve/main/checkpoint-915840/optimizer.pt
544 MB
- Xet hash:
- 65107d60846f680c4a9176a79970d62b2341ec9c3581aaad0f40f5374ecacd6c
- Size of remote file:
- 544 MB
- SHA256:
- 1032fa6ff995f3e5aa79a6437977ec95577178b0480d579c3a762d2da04e4e84
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