Instructions to use michelecafagna26/git-base-captioning-ft-hl-scenes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michelecafagna26/git-base-captioning-ft-hl-scenes 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="michelecafagna26/git-base-captioning-ft-hl-scenes")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("michelecafagna26/git-base-captioning-ft-hl-scenes") model = AutoModelForMultimodalLM.from_pretrained("michelecafagna26/git-base-captioning-ft-hl-scenes", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2f0f688eca98d78afd9b39e96a835d90d51f7f4e6366bb3baa9b63e565f612e0
- Size of remote file:
- 707 MB
- SHA256:
- fd3b41e34260adfcd1996392bf64fb63164acf1255328547510b0aa342493ef2
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