Token Classification
Transformers
Safetensors
qwen2
Generated from Trainer
trl
bidirectional-prm
text-generation-inference
Instructions to use wls04/math_bi7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wls04/math_bi7b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="wls04/math_bi7b")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("wls04/math_bi7b") model = AutoModelForTokenClassification.from_pretrained("wls04/math_bi7b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from wls04/math_bi7b: direct link, hf CLI and curl.
- Browser
- Download file 7.44 kB
-
https://huggingface.co/wls04/math_bi7b/resolve/main/training_args.bin
- Command line
-
hf download hf://wls04/math_bi7b/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/wls04/math_bi7b/resolve/main/training_args.bin
7.44 kB
- Xet hash:
- 3b7e699dd5a6671464e35915a9bba04fc85c028a0560741fb7e2a6c1bc6c4249
- Size of remote file:
- 7.44 kB
- SHA256:
- a11a130d3aabbad625b7da0892520cf1e4e8f2ee9bde7d47e7dcc200d2f7b0ed
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