Instructions to use HumorR1/policy-e3-dpo-no-thinking with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use HumorR1/policy-e3-dpo-no-thinking with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-VL-2B-Instruct") model = PeftModel.from_pretrained(base_model, "HumorR1/policy-e3-dpo-no-thinking") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from HumorR1/policy-e3-dpo-no-thinking: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/HumorR1/policy-e3-dpo-no-thinking/resolve/main/tokenizer.json
- Command line
-
hf download hf://HumorR1/policy-e3-dpo-no-thinking/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/HumorR1/policy-e3-dpo-no-thinking/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 1a71d4624e89520542c1aaa3b729e93f3455104d175135e3707cc04f3c460883
- Size of remote file:
- 11.4 MB
- SHA256:
- 8579e1ca7cc5d82a9e0202eed555529996f4ffe7f563c2979a0290cf3db452d3
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