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-152640/training_args.bin from CLMBR/binding-case-lstm-4: direct link, hf CLI and curl.
- Browser
- Download file 4.22 kB
-
https://huggingface.co/CLMBR/binding-case-lstm-4/resolve/main/checkpoint-152640/training_args.bin
- Command line
-
hf download hf://CLMBR/binding-case-lstm-4/checkpoint-152640/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/CLMBR/binding-case-lstm-4/resolve/main/checkpoint-152640/training_args.bin
4.22 kB
- Xet hash:
- 7ec18016e88b1d29c20a8f229fae04fe3f51b9c86d3b9ddc232da24fce153db5
- Size of remote file:
- 4.22 kB
- SHA256:
- a508c09cfb925a33d17a34c4db3512ae4329e6147fa8b4be29a486dfd63b29e8
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