Instructions to use gubartz/testea with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gubartz/testea with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gubartz/testea") model = AutoModelForSeq2SeqLM.from_pretrained("gubartz/testea", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae063353ec84fef30478d711cd5b79267c1f5b1121bfb61929e0316de56b6e27
- Size of remote file:
- 990 MB
- SHA256:
- a98186ae681b2949ea2153b4400a496edb7262e2a54ee19fd22b7ac2fdc961dd
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