Instructions to use wangjin2000/git-base-finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wangjin2000/git-base-finetune 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="wangjin2000/git-base-finetune")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("wangjin2000/git-base-finetune") model = AutoModelForImageTextToText.from_pretrained("wangjin2000/git-base-finetune") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 75559b7d1dd90f9dc1a7f0951fd61e0b5af50f10199198a05dedaa022959ad51
- Size of remote file:
- 707 MB
- SHA256:
- b3b8b684f7d9cd3c37cffa1cdd420e12076ebcf02387b75bb8de196ca999d5bc
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