Instructions to use FredericProtat/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FredericProtat/output with Transformers:
# Load model directly from transformers import AutoTokenizer, TrainableDT tokenizer = AutoTokenizer.from_pretrained("FredericProtat/output") model = TrainableDT.from_pretrained("FredericProtat/output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 022b5d405efd8814490ab3b706c4c6b6be6ad9c9a04949c24dbff997ac5c12b5
- Size of remote file:
- 5.05 MB
- SHA256:
- b15d9d610cc63c08c34e9d23e6f2b225d30adcfbcc49791f0f3f001bf1876e2a
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