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:
- e1ec70b9eae6e35493692c2536700eed2095695150aabb2b8b184194cf5bff2f
- Size of remote file:
- 17.1 MB
- SHA256:
- 3c088c06cf975b7097e469bd69630cdb0d675c6db1ce3af1042b6e19c6d01f22
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