Instructions to use ArseniyBolotin/bert-multi-PAD-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArseniyBolotin/bert-multi-PAD-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ArseniyBolotin/bert-multi-PAD-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ArseniyBolotin/bert-multi-PAD-ner") model = AutoModelForTokenClassification.from_pretrained("ArseniyBolotin/bert-multi-PAD-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f89ef8b388bd5dd337591ee414f04576299ac0305ce29f5360c1dfea6731cff4
- Size of remote file:
- 709 MB
- SHA256:
- 4bc55dfa86c351658eeee2412e7bfe10de4578f7e914b2d8d3dfdd41887171ff
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