Instructions to use Fan21/git_20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fan21/git_20 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="Fan21/git_20")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("Fan21/git_20") model = AutoModelForImageTextToText.from_pretrained("Fan21/git_20") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7649e21468c473596f5dc768e16af3ec2ae465f55f637851c4ed265c90d7f9d1
- Size of remote file:
- 707 MB
- SHA256:
- 995da7be39cbb52fa15e87fe3f58b21a3b12372ec60fbd14000f7308ad34a085
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