Token Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
Eval Results (legacy)
Instructions to use cwchang/ner_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cwchang/ner_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cwchang/ner_model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("cwchang/ner_model") model = AutoModelForTokenClassification.from_pretrained("cwchang/ner_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df979f4a7368d7cf22295e0008c869b1f0e9036774933a80f64d01fd454dd387
- Size of remote file:
- 4.73 kB
- SHA256:
- 4a8aab6f93e5aee92d240e006678aa88884341ac42cd79a2083e261eb7ca1ea7
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