Instructions to use Alexander-Learn/bert-finetuned-ner-accelerate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alexander-Learn/bert-finetuned-ner-accelerate with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Alexander-Learn/bert-finetuned-ner-accelerate")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Alexander-Learn/bert-finetuned-ner-accelerate") model = AutoModelForTokenClassification.from_pretrained("Alexander-Learn/bert-finetuned-ner-accelerate", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 656b1607c9db9d27543cf7d5fced2c167484c2994ddea79142fc8d9c3251b878
- Size of remote file:
- 431 MB
- SHA256:
- 572c382ac562e3faaf39654197aedbdfa0caa98ea5aefe3db62019cbfdf73526
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