Instructions to use Mhammad2023/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mhammad2023/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Mhammad2023/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Mhammad2023/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("Mhammad2023/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b96ea17c8e65071cc3324088880a0ca67db8e5ec190cfef09110f91d270bd956
- Size of remote file:
- 18.7 kB
- SHA256:
- 50b62e62ca804df5c5fc35492efc36600043093e1088f6e7e31f307046116161
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