Token Classification
Transformers
Safetensors
English
distilbert
ner
named-entity-recognition
conll2003
Instructions to use Abdirahman2040/ner-distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Abdirahman2040/ner-distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Abdirahman2040/ner-distilbert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Abdirahman2040/ner-distilbert") model = AutoModelForTokenClassification.from_pretrained("Abdirahman2040/ner-distilbert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Abdirahman2040/ner-distilbert: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
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https://huggingface.co/Abdirahman2040/ner-distilbert/resolve/main/tokenizer.json
- Command line
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hf download hf://Abdirahman2040/ner-distilbert/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Abdirahman2040/ner-distilbert/resolve/main/tokenizer.json
711 kB
File too large to display, you can check the raw version instead.