Token Classification
Transformers
PyTorch
English
roberta
feature-extraction
entity-recognition
foundation-model
RoBERTa
generic
Instructions to use numind/NuNER-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use numind/NuNER-v0.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="numind/NuNER-v0.1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("numind/NuNER-v0.1") model = AutoModel.from_pretrained("numind/NuNER-v0.1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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# SOTA Entity Recognition English Foundation Model by NuMind 🔥
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- feature-extraction
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- RoBERTa
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- generic
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datasets:
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- numind/NuNER
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# SOTA Entity Recognition English Foundation Model by NuMind 🔥
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