Token Classification
Transformers
Safetensors
qwen2
Generated from Trainer
axolotl
trl
prm
text-generation-inference
Instructions to use axolotl-ai-co/Qwen2.5-Math-PRM-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use axolotl-ai-co/Qwen2.5-Math-PRM-7B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="axolotl-ai-co/Qwen2.5-Math-PRM-7B")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("axolotl-ai-co/Qwen2.5-Math-PRM-7B") model = AutoModelForTokenClassification.from_pretrained("axolotl-ai-co/Qwen2.5-Math-PRM-7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from axolotl-ai-co/Qwen2.5-Math-PRM-7B: direct link, hf CLI and curl.
- Browser
- Download file 6.71 kB
-
https://huggingface.co/axolotl-ai-co/Qwen2.5-Math-PRM-7B/resolve/main/training_args.bin
- Command line
-
hf download hf://axolotl-ai-co/Qwen2.5-Math-PRM-7B/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/axolotl-ai-co/Qwen2.5-Math-PRM-7B/resolve/main/training_args.bin
6.71 kB
- Xet hash:
- 60d57ce9cc1cce77de0803d72849a2532b79b76c73b4691a28ff2b2c028463bd
- Size of remote file:
- 6.71 kB
- SHA256:
- 61c2dec7a44e0a349c4919b5bae900f025bbe5a3badfb90468242b672e350476
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