Instructions to use Edgar404/t5_small_default with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Edgar404/t5_small_default with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Edgar404/t5_small_default") model = AutoModelForSeq2SeqLM.from_pretrained("Edgar404/t5_small_default") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06e8b12a67c2144561bc21d6894d9fca11a331847bc06337934f528490ef9baa
- Size of remote file:
- 2.46 GB
- SHA256:
- a257fe2f5e5721bed3783119d2ccca7962772eb3c36850cbd9f3808641c530e3
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