Instructions to use sanbohork/t5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sanbohork/t5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sanbohork/t5") model = AutoModelForSeq2SeqLM.from_pretrained("sanbohork/t5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b53fcddbefcfb4815ad5558fca9916f9dcb3165eeef6968d1f5a28d5d7b07699
- Size of remote file:
- 892 MB
- SHA256:
- 8a6933704f6edf87aa82430f0c17fca65da66bf5969d937b2863b4ee7dc80f26
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