Instructions to use HuggingFaceH4/vsft-llava-1.5-7b-hf-trl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HuggingFaceH4/vsft-llava-1.5-7b-hf-trl 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="HuggingFaceH4/vsft-llava-1.5-7b-hf-trl")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("HuggingFaceH4/vsft-llava-1.5-7b-hf-trl") model = AutoModelForMultimodalLM.from_pretrained("HuggingFaceH4/vsft-llava-1.5-7b-hf-trl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
How much GPU do you need to perform the inference?
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#1 opened over 2 years ago
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GbrlOl