Instructions to use kuppuluri/telugu_bertu_ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kuppuluri/telugu_bertu_ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="kuppuluri/telugu_bertu_ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("kuppuluri/telugu_bertu_ner") model = AutoModelForTokenClassification.from_pretrained("kuppuluri/telugu_bertu_ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 556e789995e6b1d8511f7f6997036c9df97edb0591b8ddcd70e176083f9c2af4
- Size of remote file:
- 440 MB
- SHA256:
- 894b880e545585f94d4143b47589768cee91526855425312f604fa2131a3dc99
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