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:
- 34ad9d3d1117aa64f55e049dc533e5a83fd14cb3bda2ba407b3dd44b5d306d71
- Size of remote file:
- 1.9 GB
- SHA256:
- b62624c7fdade125fb01f0f6c3406488d849c9104c5aa62c491f6d314d07180a
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