Instructions to use ativilambit/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ativilambit/results with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ativilambit/results") model = AutoModelForSeq2SeqLM.from_pretrained("ativilambit/results") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e84d856373c594c34b393fa33b5a8e13b00f0ea28882274c56bae5a09e9d4fa1
- Size of remote file:
- 990 MB
- SHA256:
- ab67079a161038bd2df679c7298582478d4177f4e2ea4121a9f5ff86917078d9
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