Instructions to use DunnBC22/ibert-roberta-base-finetuned-WikiNeural with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DunnBC22/ibert-roberta-base-finetuned-WikiNeural with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="DunnBC22/ibert-roberta-base-finetuned-WikiNeural")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("DunnBC22/ibert-roberta-base-finetuned-WikiNeural") model = AutoModelForTokenClassification.from_pretrained("DunnBC22/ibert-roberta-base-finetuned-WikiNeural") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a0554e1c00814396e10201f3ef1cef3e27d2e2c9cc29c18c906f31f9ad96fe6
- Size of remote file:
- 6.15 kB
- SHA256:
- 1ab4a08c729473f9f4fef8425bd53434c3c86cef873c9cd21acff3420edb376a
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