Instructions to use CLMBR/binding-c-command-lstm-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/binding-c-command-lstm-4 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/binding-c-command-lstm-4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from CLMBR/binding-c-command-lstm-4: direct link, hf CLI and curl.
- Browser
- Download file 4.22 kB
-
https://huggingface.co/CLMBR/binding-c-command-lstm-4/resolve/main/training_args.bin
- Command line
-
hf download hf://CLMBR/binding-c-command-lstm-4/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/CLMBR/binding-c-command-lstm-4/resolve/main/training_args.bin
4.22 kB
- Xet hash:
- 5d3ca2388e127a54952a80638fefb4acd45751fc7f0661c528eb197d19690f78
- Size of remote file:
- 4.22 kB
- SHA256:
- 1d6f0584f23741fa699bdb7c70d9af5aa89119d4bf65342bf87b9f63038f2199
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