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:
- a3ff95df79ee2b0223c5f20e4f7251b0f0908489a68ae1126f856a673ecc7e5c
- Size of remote file:
- 5.35 GB
- SHA256:
- 9388be3429ba2eb183ad0e3a9d176f47248e3f4b5416e9c4c568c7d735a01bf6
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