Instructions to use microsoft/git-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/git-large 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="microsoft/git-large")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("microsoft/git-large") model = AutoModelForImageTextToText.from_pretrained("microsoft/git-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b73e79df55288cb59ebe32f08609f623d9a7611b01fa6263ff5d08b18177b809
- Size of remote file:
- 1.58 GB
- SHA256:
- 0f08d92231023eb4011a078e96deecb11c0ae52dc0f12ad5e9b203630278db25
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