Token Classification
Transformers
Safetensors
qwen2
Generated from Trainer
bidirectional-prm
trl
text-generation-inference
Instructions to use wls04/math_bi4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wls04/math_bi4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="wls04/math_bi4")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("wls04/math_bi4") model = AutoModelForTokenClassification.from_pretrained("wls04/math_bi4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c05257c852fe2cd4b7a6afe9a72fb9059c0429ce68a81e3ca790052a8a8c3348
- Size of remote file:
- 7.44 kB
- SHA256:
- edc1ecf50d949a6f7dd0d3f685c730eeec1a178d724b66a47b7d2ffd28a4eba6
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