Instructions to use ZenMan67/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZenMan67/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ZenMan67/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ZenMan67/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("ZenMan67/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2dc99bb5293cece6c0dc10b17f971fb439a5c140a8f6c72696ce231dff4e3614
- Size of remote file:
- 5.84 kB
- SHA256:
- 789174d514e9812d0f16b795ba5daa8e91e9a8a61175a84f9af5abf64d7409cc
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