Instructions to use Red-8/Gujarati_NER-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Red-8/Gujarati_NER-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Red-8/Gujarati_NER-1")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Red-8/Gujarati_NER-1") model = AutoModelForTokenClassification.from_pretrained("Red-8/Gujarati_NER-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fddd1a64c053449c4b5f8d44d2de16eddf81fe0cdbc69c657da622e1e605bbc0
- Size of remote file:
- 4.6 kB
- SHA256:
- 9b07e67efcd14f1f085c9b9ae9c7f210cc1f58625e7fa6492cf6eb53aa7c2de9
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