Instructions to use Afreen/ner_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Afreen/ner_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Afreen/ner_test")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Afreen/ner_test") model = AutoModelForTokenClassification.from_pretrained("Afreen/ner_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a6f1335e3c701930d63cd38b19c2cc57b7ce5df0d2a82dd96da850f9f463110a
- Size of remote file:
- 266 MB
- SHA256:
- 5a8b80b0d6849e7410d303e7817351c8b09183bdd48a2fbf78cc608ed8846ee5
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