Transformers
PyTorch
Hindi
t5
text2text-generation
t5-leaderboard
Generated from Trainer
text-generation-inference
Instructions to use Hunzla/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hunzla/output with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Hunzla/output") model = AutoModelForSeq2SeqLM.from_pretrained("Hunzla/output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2f19a86047f0b675ef6d7644c1d9e4f25766ce0c69c945f67e8562b50c0dc5a8
- Size of remote file:
- 892 MB
- SHA256:
- fed4aecec69275b2b524b5f055b21579e1be968f7407119f39370763373b9cfd
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