Instructions to use TypicaAI/magbert-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TypicaAI/magbert-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="TypicaAI/magbert-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("TypicaAI/magbert-ner") model = AutoModelForTokenClassification.from_pretrained("TypicaAI/magbert-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b0218e8defa36612e905bcef4e6a9f38c568d55aac60a3b563ba3f70990d993e
- Size of remote file:
- 443 MB
- SHA256:
- 3248308b22b432eb8087547e87887c196cc55d7f0065481ba027da52103c772f
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