Token Classification
Transformers
PyTorch
TensorFlow
Rust
Safetensors
OpenVINO
English
distilbert
Eval Results (legacy)
Instructions to use wbq/model-api-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wbq/model-api-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="wbq/model-api-test")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("wbq/model-api-test") model = AutoModelForTokenClassification.from_pretrained("wbq/model-api-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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test update config.json
BiqiangWang46fe623 -
test pipline_tag in model card metadata
BiqiangWanga83ec20 -
Revert "test pipline.py"
BiqiangWangThis reverts commit af4bca713561a1688c977f0df32bc576a30cf2ab.53dd3ed -
test pipline.py
BiqiangWangaf4bca7 -
add model files
BiqiangWangb67a30c -
initial commit
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