Token Classification
Transformers
Safetensors
qwen2
Generated from Trainer
trl
axolotl
prm
text-generation-inference
Instructions to use jacopo-minniti/Qwen2.5-Math-1.5B-PUM-binary-variance with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jacopo-minniti/Qwen2.5-Math-1.5B-PUM-binary-variance with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="jacopo-minniti/Qwen2.5-Math-1.5B-PUM-binary-variance")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("jacopo-minniti/Qwen2.5-Math-1.5B-PUM-binary-variance") model = AutoModelForTokenClassification.from_pretrained("jacopo-minniti/Qwen2.5-Math-1.5B-PUM-binary-variance") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!