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-381600/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-381600/training_args.bin
- Command line
-
hf download hf://CLMBR/binding-case-lstm-2/checkpoint-381600/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/CLMBR/binding-case-lstm-2/resolve/main/checkpoint-381600/training_args.bin
4.22 kB
- Xet hash:
- 18a307d6077b8bb950b7c6c688177daf142def626dc60e13fd90161a421d4c2d
- Size of remote file:
- 4.22 kB
- SHA256:
- 64d7e7caa6199efd9ac731ef33866a3b40de7274ac32dbd3b00e387117ccb97c
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