Token Classification
Transformers
Safetensors
qwen2
Generated from Trainer
trl
bidirectional-prm
text-generation-inference
Instructions to use wls04/math_cau7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wls04/math_cau7b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="wls04/math_cau7b")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("wls04/math_cau7b") model = AutoModelForTokenClassification.from_pretrained("wls04/math_cau7b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 76bb3b09f42e9bc9341f75fa4af8979478017a4bae20fcc006c7261dfa2959bc
- Size of remote file:
- 11.4 MB
- SHA256:
- 6b19fedbf35b38f119f1d0582f19175bf783632748fbf558d596bed6aa238539
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