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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 012b98f9f417d1c16c773abfcd844e81fbc702c4d0275e72ac79d3660d14c377
- Size of remote file:
- 5.78 kB
- SHA256:
- 84c062f3509e680ab2eff9b68fc3aa336a902e04edb91e1d745e5b3e80701808
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