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-2823840/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-2823840/training_args.bin
- Command line
-
hf download hf://CLMBR/binding-case-lstm-2/checkpoint-2823840/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/CLMBR/binding-case-lstm-2/resolve/main/checkpoint-2823840/training_args.bin
4.22 kB
- Xet hash:
- db8db198c139e99f5f23834e4c52df1be0394ee9015d82da70f96b69c5205944
- Size of remote file:
- 4.22 kB
- SHA256:
- 2186988eee657bedf65b185055ca87747ad1fca9c7cbb3bac908fa3739b668f9
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