Instructions to use moosemandada/tiny-ner-probe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use moosemandada/tiny-ner-probe with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="moosemandada/tiny-ner-probe")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("moosemandada/tiny-ner-probe") model = AutoModelForTokenClassification.from_pretrained("moosemandada/tiny-ner-probe", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from moosemandada/tiny-ner-probe: direct link, hf CLI and curl.
- Browser
- Download file 166 Bytes
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https://huggingface.co/moosemandada/tiny-ner-probe/resolve/main/README.md
- Command line
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hf download hf://moosemandada/tiny-ner-probe/README.md
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curl -L -o README.md https://huggingface.co/moosemandada/tiny-ner-probe/resolve/main/README.md
166 Bytes
metadata
pipeline_tag: token-classification
widget:
- text: My name is Sarah and I live in London
library_name: transformers
license: mit
tiny ner probe
probe