Instructions to use AbstractPhil/T5-Small-Human-Attentive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AbstractPhil/T5-Small-Human-Attentive with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("AbstractPhil/T5-Small-Human-Attentive") model = AutoModelForSeq2SeqLM.from_pretrained("AbstractPhil/T5-Small-Human-Attentive") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 04a3127b50fb1bb815c8a8b585f584280c9e07e623734d06e2332a60cea9959e
- Size of remote file:
- 5.3 kB
- SHA256:
- 06ef8810db7ae3522f57fab4abc63a0d66726b1fc37e561d3e621f5e112978b6
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