Instructions to use violetar/Ner-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use violetar/Ner-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="violetar/Ner-model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("violetar/Ner-model") model = AutoModelForTokenClassification.from_pretrained("violetar/Ner-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a4c7dd4402ad4a1f2e5f784bb378c2a681388816ef0f00ef37570ebd13cc11c5
- Size of remote file:
- 5.27 kB
- SHA256:
- 73d85baf25e9df26706b163ba73ddd6fff6a3cbcced0845174bd510dfbdfeb80
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