Instructions to use Falah/test-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Falah/test-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Falah/test-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Falah/test-ner") model = AutoModelForTokenClassification.from_pretrained("Falah/test-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e688939d84a70b592bae83ff99732bbfac2d0d5c4360baaef6f205fa10210eea
- Size of remote file:
- 266 MB
- SHA256:
- 976c4232d568f73808e34f44a7cbba81d52badfc6976c77d5a3a368ac6d6ab0b
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