Instructions to use DoNotChoke/output_fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DoNotChoke/output_fp16 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DoNotChoke/output_fp16", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 12ca4bba476784924bdc64c9f1684468a7b2bcb7219871f86b5569b8db70327d
- Size of remote file:
- 5.37 kB
- SHA256:
- 5c9ff689cdf2eaf701fc19bf1512eebd775b7a786a2c188a8daab3d8decd6c2f
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