Token Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
Eval Results (legacy)
Instructions to use wizardofchance/conllpp_NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wizardofchance/conllpp_NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="wizardofchance/conllpp_NER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("wizardofchance/conllpp_NER") model = AutoModelForTokenClassification.from_pretrained("wizardofchance/conllpp_NER", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- edfc371a767dc692c3d54f52eb327c2d81d374c170a6b1dcc175118ea572ff36
- Size of remote file:
- 5.78 kB
- SHA256:
- 7987ceba35433799d8637005deb53f7f4cd22e343a5c1dddefae66378137b578
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