Instructions to use zayed/P2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zayed/P2 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("image-to-text", model="zayed/P2")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("zayed/P2") model = AutoModelForImageTextToText.from_pretrained("zayed/P2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f993c68f83b93e79d955bb2721d80daaaa55bce6d8bb8a4e1b7dfa54dea0e5aa
- Size of remote file:
- 1.88 GB
- SHA256:
- 563f386ecdc08f26ef4c74b2012f023b5b9d49526ca719dd432cdaed6c49e19a
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