Instructions to use synapti/nci-ner-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use synapti/nci-ner-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="synapti/nci-ner-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("synapti/nci-ner-v2") model = AutoModelForTokenClassification.from_pretrained("synapti/nci-ner-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 38d1bacc2db0d6ffdafef58fb314b58f8e74c6637763dd3a4b82736c11cb53d4
- Size of remote file:
- 5.71 kB
- SHA256:
- 2f8e6e9eebfa6b4f7ec0540c978c443e04acba9a4d0743da2d16605dca8f10a7
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