Feature Extraction
Transformers
Safetensors
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internvl_chat
internvl
multimodal
reward-model
preference-model
custom_code
Instructions to use quiyver/intern-vl-2.5-reward with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use quiyver/intern-vl-2.5-reward with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="quiyver/intern-vl-2.5-reward", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("quiyver/intern-vl-2.5-reward", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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The community tab is the place to discuss and collaborate with the HF community!