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
Orange Problem — GIT-base LoRA adapters
Browse files- adapter_config.json +2 -2
- adapter_model.safetensors +1 -1
adapter_config.json
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"rank_pattern": {},
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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adapter_model.safetensors
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oid sha256:084af8c8e27c4c5dfb01026ead73f20e7166718bc2571b93b896f208e1c18ec2
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size 2362672
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