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:
- c984418ec7e84e129e86cf342de7f31e826cf28882bec056d0f71cc8c3c711da
- Size of remote file:
- 7.38 kB
- SHA256:
- 1c5bef9d6d36c63734b2224c507c4fcb355be1161d9a7e11d720a57a60af351c
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