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, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Fan21/git_20") model = AutoModelForMultimodalLM.from_pretrained("Fan21/git_20", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 04f56803df18c1aac1e3168d9f4b25add1902c4a76433fa6dbdfcd0c2720a36d
- Size of remote file:
- 707 MB
- SHA256:
- ed87658acae0f8eac015fd358c898931e4bdc15e7c82859f33ee708903b50c23
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.