Instructions to use rachel521/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rachel521/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="rachel521/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("rachel521/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("rachel521/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7828f23fd3367f90ede7b7f623c371e09300bd184f24aace7207ef174d5c731c
- Size of remote file:
- 5.78 kB
- SHA256:
- c12339c7a49719389f4370ade15ac13dcccd2e51d26044c2077b7138f9394512
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