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:
- c241204bbd07c0d908884226fd7174fd72f9e9d4129e5499cd46217fc8b67aab
- Size of remote file:
- 15 GB
- SHA256:
- cda25cbbc6fc311e3f6fc9320cf4334d22c1c8be15a4bc31f66528ea9c7b8d05
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