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:
- 30d4fa045a2063a8c55f45a36f940e25ce06079f3b1cda038816c9f5a5675857
- Size of remote file:
- 3.96 kB
- SHA256:
- d8faee3971a06ffd175bb619571c4027b92a9d8b6c07a8cfa09ba588b545660b
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