Instructions to use HarshaDiwakar/orange-problem-git-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HarshaDiwakar/orange-problem-git-lora 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="HarshaDiwakar/orange-problem-git-lora")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("HarshaDiwakar/orange-problem-git-lora", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 735bdae347c1e15200e4a4527ed6f9f792c2dbdc3e69c1540538091becec9510
- Size of remote file:
- 2.36 MB
- SHA256:
- b2c09630b06cb8cea58e1d41d82e814567e6303fc0fdf4b439bd22e368c8bce7
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