Instructions to use ruba12/mountain_ner_test_quantum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ruba12/mountain_ner_test_quantum with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ruba12/mountain_ner_test_quantum")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ruba12/mountain_ner_test_quantum") model = AutoModelForTokenClassification.from_pretrained("ruba12/mountain_ner_test_quantum") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f4ab0d45bb06ce76b1bf2dbcce8cdf45601cb868a01337bd08728012ba64c447
- Size of remote file:
- 431 MB
- SHA256:
- e2f9658ca8a86eea0984eeed01ef131a6e640bddc782da5d7b9a85261ce16d65
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