Token Classification
Transformers
PyTorch
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use gyronee/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gyronee/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="gyronee/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("gyronee/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("gyronee/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (7f46f9a72128f7685aed51980861e23874370509)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:fb03c57476a248d3bcfb3d5a783c3936d83d62dbc1d2a1f3e8abfc31d1b84b6e
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size 430933924
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