Instructions to use rahular/varta-t5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rahular/varta-t5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("rahular/varta-t5") model = AutoModelForSeq2SeqLM.from_pretrained("rahular/varta-t5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#3)
- Adding `safetensors` variant of this model (d880f5e6979a368464b997d515acc1994aaa60f7) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>d30d91c
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- initial commit (5baef78c4bcac16988c15b4d66a0288af40232f8) Co-authored-by: Ziling Cheng <oooooorange@users.noreply.huggingface.co>be9d155
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