Token Classification
Transformers
PyTorch
Safetensors
qwen2
Generated from Trainer
axolotl
trl
prm
text-generation-inference
Instructions to use smohammadi/Qwen2.5-3B-MathShepherd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use smohammadi/Qwen2.5-3B-MathShepherd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="smohammadi/Qwen2.5-3B-MathShepherd")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("smohammadi/Qwen2.5-3B-MathShepherd") model = AutoModelForTokenClassification.from_pretrained("smohammadi/Qwen2.5-3B-MathShepherd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
4e76a98 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:75d308566846d7306686126e25339a9fb1486e79bb82ba4aa5c9293817f57ee0
size 987622524
|