Instructions to use StrangeSX/NN_19K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StrangeSX/NN_19K with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="StrangeSX/NN_19K")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("StrangeSX/NN_19K") model = AutoModelForTokenClassification.from_pretrained("StrangeSX/NN_19K", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ce61b03d095fec7d7b31352d0015f781904a3950f4c89f806fd635f7a6c5932a
- Size of remote file:
- 17.3 MB
- SHA256:
- 6bd9e947fbe9c970a202ea2a4dd511892b6b239078cf5919690e58d35a43e3f2
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