Instructions to use Baicai003/tiny-t5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Baicai003/tiny-t5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Baicai003/tiny-t5")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Baicai003/tiny-t5") model = AutoModel.from_pretrained("Baicai003/tiny-t5") - Notebooks
- Google Colab
- Kaggle
Upload model.safetensors.index.json with huggingface_hub
Browse files- model.safetensors.index.json +33 -0
model.safetensors.index.json
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