Instructions to use CLMBR/binding-case-lstm-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/binding-case-lstm-3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/binding-case-lstm-3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-1984320/training_args.bin from CLMBR/binding-case-lstm-3: direct link, hf CLI and curl.
- Browser
- Download file 4.22 kB
-
https://huggingface.co/CLMBR/binding-case-lstm-3/resolve/main/checkpoint-1984320/training_args.bin
- Command line
-
hf download hf://CLMBR/binding-case-lstm-3/checkpoint-1984320/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/CLMBR/binding-case-lstm-3/resolve/main/checkpoint-1984320/training_args.bin
4.22 kB
- Xet hash:
- 6020c910a05b6777b05081f9ef14abd8d78ec098f3e5647d02b586e46cd29b72
- Size of remote file:
- 4.22 kB
- SHA256:
- 0f669c17085948855b96628403c2d5c856bc99ecba43b6eeb2c922e975e223e4
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