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:
- e9c4a7cb1f9d51e5f0c15782b40324c5a75553f7b044b2a613368aec27de63bc
- Size of remote file:
- 4.47 kB
- SHA256:
- b54d939185c671d2e3dffd4a4f32843f2aefa2a0b4f41988f30fa850efd41b96
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