Instructions to use shre-db/bert-finetuned-ner-accelerator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shre-db/bert-finetuned-ner-accelerator with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="shre-db/bert-finetuned-ner-accelerator")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("shre-db/bert-finetuned-ner-accelerator") model = AutoModelForTokenClassification.from_pretrained("shre-db/bert-finetuned-ner-accelerator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (27999a3660682aaae3994e45d180c3a8f6d269b1) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>f07b522 -
Training in progress epoch 2
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Training in progress epoch 1
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Training in progress epoch 0
0426c50 -
initial commit
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