Instructions to use Fah-d/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fah-d/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Fah-d/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Fah-d/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("Fah-d/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fd6ce21831dd3e4ff5c7844da88a2b709f014fe8223ac96ff8034a777eda4019
- Size of remote file:
- 4.92 kB
- SHA256:
- 7f74931847dfb12cdc8538fce4a0bbb5335fa2b1ae4fcfd17c5f069292d58d5c
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