Instructions to use GitBag/a_star_final_ppo_math_7_critic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GitBag/a_star_final_ppo_math_7_critic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="GitBag/a_star_final_ppo_math_7_critic")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("GitBag/a_star_final_ppo_math_7_critic") model = AutoModelForTokenClassification.from_pretrained("GitBag/a_star_final_ppo_math_7_critic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from GitBag/a_star_final_ppo_math_7_critic: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/GitBag/a_star_final_ppo_math_7_critic/resolve/main/tokenizer.json
- Command line
-
hf download hf://GitBag/a_star_final_ppo_math_7_critic/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/GitBag/a_star_final_ppo_math_7_critic/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 4bd2f092eeec244c0448f13e31edd4b25e625568713e4155993a3dea90c7437a
- Size of remote file:
- 11.4 MB
- SHA256:
- 9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
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