Instructions to use Red-8/Gujarati_NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Red-8/Gujarati_NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Red-8/Gujarati_NER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Red-8/Gujarati_NER") model = AutoModelForTokenClassification.from_pretrained("Red-8/Gujarati_NER") - Notebooks
- Google Colab
- Kaggle
Upload optimizer.pt
Browse files- optimizer.pt +3 -0
optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:e86810d5112c6df1ce33e099a32513efddfa2f8fe68152cbb428e6249562f50e
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size 1895959098
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