Instructions to use averageandyyy/bert-finetuned-ner-accelerate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use averageandyyy/bert-finetuned-ner-accelerate with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="averageandyyy/bert-finetuned-ner-accelerate")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("averageandyyy/bert-finetuned-ner-accelerate") model = AutoModelForTokenClassification.from_pretrained("averageandyyy/bert-finetuned-ner-accelerate") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:561e1e7cf76f3cd6e83864dfd8148e92b9d2a1bd5621731a2e323b64e943cd84
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size 430933924
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