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:
- 5a9b4a17080ff73c79dc6271292fa30256a8c7bc8211dc12860f5b9e7ed19082
- Size of remote file:
- 4.03 kB
- SHA256:
- 264954d0703fbbfc245d508eda363a7f14c9ad0b0afbcaee4ca11dfdf5937c0b
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