Token Classification
Transformers
Safetensors
qwen2
Generated from Trainer
bidirectional-prm
trl
text-generation-inference
Instructions to use wls04/math_cau4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wls04/math_cau4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="wls04/math_cau4")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("wls04/math_cau4") model = AutoModelForTokenClassification.from_pretrained("wls04/math_cau4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab58195b3f0cd058d306dd053231a20d1c26e037ef073e805e60b08ff51baa0a
- Size of remote file:
- 7.38 kB
- SHA256:
- b8049f0d17d83fba4216df3d4f7cd79be343dde3cdcca3b3a752f54ccb5d5ed2
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