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:
# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
End of training
Verified signature529578b -
Training in progress, step 9765
Verified signaturedf0a5a6 -
Training in progress, step 9000
Verified signature96034c8 -
Training in progress, step 8000
Verified signature08839f2 -
Training in progress, step 7000
Verified signaturec8ded51 -
Training in progress, step 6000
Verified signaturebadfa2d -
Training in progress, step 5000
Verified signature86dc958 -
Training in progress, step 4000
Verified signature4739545 -
Training in progress, step 3000
Verified signaturea54b74b -
Training in progress, step 2000
Verified signature788687d -
Training in progress, step 1000
Verified signature41625c8 -
Training in progress, step 400
Verified signature35df9bb -
Training in progress, step 200
Verified signaturee6c7ca2 -
Training in progress, step 200
Verified signature912d3a1 -
Training in progress, step 200
Verified signature7e6edbe -
initial commit
Verified signature75af844