Instructions to use Baicai003/tiny-clip-one with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Baicai003/tiny-clip-one with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Baicai003/tiny-clip-one")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("Baicai003/tiny-clip-one") model = AutoModel.from_pretrained("Baicai003/tiny-clip-one") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoProcessor, AutoModel
processor = AutoProcessor.from_pretrained("Baicai003/tiny-clip-one")
model = AutoModel.from_pretrained("Baicai003/tiny-clip-one")Quick Links
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Baicai003/tiny-clip-one")