Instructions to use mirfan899/punjabi-bert-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mirfan899/punjabi-bert-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mirfan899/punjabi-bert-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("mirfan899/punjabi-bert-ner") model = AutoModelForTokenClassification.from_pretrained("mirfan899/punjabi-bert-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d43cfeaa2c8dc00430eac1d2fe125e528660d2a0cd5050e4ef86f96f560e959f
- Size of remote file:
- 4.03 kB
- SHA256:
- b9503481cdbf82d08bd4b6c8a90032a88d57d04af4695c5c8a4126a94eb69de6
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