Robotics
Transformers
Safetensors
English
Chinese
rynn_value_lang
feature-extraction
embodied-ai
value-foundation-model
reinforcement-learning
spatiotemporal
vision-language-model
custom_code
Instructions to use Alibaba-DAMO-Academy/RynnValue-4B-Quantile with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alibaba-DAMO-Academy/RynnValue-4B-Quantile with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Alibaba-DAMO-Academy/RynnValue-4B-Quantile", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download processor_config.json from Alibaba-DAMO-Academy/RynnValue-4B-Quantile: direct link, hf CLI and curl.
- Browser
- Download file 273 Bytes
-
https://huggingface.co/Alibaba-DAMO-Academy/RynnValue-4B-Quantile/resolve/main/processor_config.json
- Command line
-
hf download hf://Alibaba-DAMO-Academy/RynnValue-4B-Quantile/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/Alibaba-DAMO-Academy/RynnValue-4B-Quantile/resolve/main/processor_config.json
273 Bytes
| { | |
| "conversation_style": "interleaved_history", | |
| "processor_class": "RynnValueLangProcessor", | |
| "relative_value_token_repeat": 8, | |
| "use_meta": true, | |
| "value_token_repeat": 8, | |
| "auto_map": { | |
| "AutoProcessor": "processing_rynn_value_lang.RynnValueLangProcessor" | |
| } | |
| } |