Token Classification
Transformers
PyTorch
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use peteryushunli/bert-finetuned-hausa_ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use peteryushunli/bert-finetuned-hausa_ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="peteryushunli/bert-finetuned-hausa_ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("peteryushunli/bert-finetuned-hausa_ner") model = AutoModelForTokenClassification.from_pretrained("peteryushunli/bert-finetuned-hausa_ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6fafaa70e279ce45fc9a9432be16b48bdb59b54766bbee74f38d183dbbc5c206
- Size of remote file:
- 431 MB
- SHA256:
- 13d3897419d1e1df22f428a7f061c756ea488e4ea54f4aa1054ece7ea6320ea9
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