Instructions to use miguelvictor/python-fromzero-t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use miguelvictor/python-fromzero-t5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("miguelvictor/python-fromzero-t5-base") model = AutoModelForSeq2SeqLM.from_pretrained("miguelvictor/python-fromzero-t5-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 851f01fd1bd780b97960c1a0eac1b70dc44828daae41c38e0007df1f43b5d7e2
- Size of remote file:
- 446 MB
- SHA256:
- 9de452c90e7f017368735618a5083cba03cb20f6b3371e432d84aaa767fda1a4
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