Instructions to use wangjin2000/git-base-finetune-Aug142023_03 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wangjin2000/git-base-finetune-Aug142023_03 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-Aug142023_03")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("wangjin2000/git-base-finetune-Aug142023_03") model = AutoModelForMultimodalLM.from_pretrained("wangjin2000/git-base-finetune-Aug142023_03", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2a10925b5c98abf118708a5e20887d752009766807942a851d1d07e9082edbb5
- Size of remote file:
- 4.09 kB
- SHA256:
- 04e4042f83a34fa05646cbb02d77968446fd7b57170e1ce10ce366b7d8d25801
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