Transformers
Safetensors
qwen2_5_vl
reward-model
rfm
vision-language
multimodal
text-generation-inference
Instructions to use ykorkmaz/rfm_progress_only with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ykorkmaz/rfm_progress_only with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("ykorkmaz/rfm_progress_only") model = AutoModel.from_pretrained("ykorkmaz/rfm_progress_only", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b0066f720383c48e5645e7268af447d3f9f3d710d5c3dd07e97c2b3d6665d2d2
- Size of remote file:
- 1.47 kB
- SHA256:
- 644e3826492e0199f95f4d6b5fb3d6db6067e2bdad6c66909988fc86684ffa9e
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