Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use shivaneej/subset_model_t5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shivaneej/subset_model_t5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("shivaneej/subset_model_t5") model = AutoModelForSeq2SeqLM.from_pretrained("shivaneej/subset_model_t5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 17b10f93a8058d94ebd2227e76113c1028aedd6e004fbc2070287087932567ce
- Size of remote file:
- 242 MB
- SHA256:
- 4d1e0d5b5b305d2bfb5e3ff175adca22618ea37d48591b0a1f6414f63230bf83
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