Instructions to use tau/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tau/test with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tau/test") model = AutoModelForSeq2SeqLM.from_pretrained("tau/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b1af2c3de13953e6dfb43a41a563aa2fe7ed8b9e1ee8e1715ba17571defd2e4
- Size of remote file:
- 3.13 GB
- SHA256:
- 718de909316d7a911d2fd7a70ac81d63145bd02d42b0f1616a12e6cb6ebe2672
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