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-1068480/training_args.bin from CLMBR/binding-case-lstm-2: direct link, hf CLI and curl.
- Browser
- Download file 4.22 kB
-
https://huggingface.co/CLMBR/binding-case-lstm-2/resolve/main/checkpoint-1068480/training_args.bin
- Command line
-
hf download hf://CLMBR/binding-case-lstm-2/checkpoint-1068480/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/CLMBR/binding-case-lstm-2/resolve/main/checkpoint-1068480/training_args.bin
4.22 kB
- Xet hash:
- 244055cb31cbcf14a43afde4ad79a5ab41bfd1962140301eadff462522d85f5f
- Size of remote file:
- 4.22 kB
- SHA256:
- c75ac22a5b7965b658cd2fa8749068d4234af2c56b8ab771b80ed3b29a400004
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