Token Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use desonglll/test-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use desonglll/test-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="desonglll/test-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("desonglll/test-ner") model = AutoModelForTokenClassification.from_pretrained("desonglll/test-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9330afd6bcd8d2140c3356cce3cb0116ace705ba1d194ca05b7f91c2f58580f2
- Size of remote file:
- 871 MB
- SHA256:
- 4810ab13dd8a72de7fd3016385326a43d48f64eaaf47f6100e4f3a2b56432cee
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