Transformers
PyTorch
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use Hari93/res with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hari93/res with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Hari93/res") model = AutoModelForSeq2SeqLM.from_pretrained("Hari93/res", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (57c3edcdddd7ea2c72e0a0b03a5b8fd4eb369232) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>5648ded
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update model card README.md
81ac2e0 -
Hari93/t5-data-on-multi-news
c3b9390 -
initial commit
f5c063e