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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("TypicaAI/magbert-ner") model = AutoModelForTokenClassification.from_pretrained("TypicaAI/magbert-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from TypicaAI/magbert-ner: direct link, hf CLI and curl.
- Browser
- Download file 24 Bytes
-
https://huggingface.co/TypicaAI/magbert-ner/resolve/refs%2Fpr%2F2/tokenizer_config.json
- Command line
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hf download hf://TypicaAI/magbert-ner@refs/pr/2/tokenizer_config.json
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curl -L -o tokenizer_config.json https://huggingface.co/TypicaAI/magbert-ner/resolve/refs%2Fpr%2F2/tokenizer_config.json
24 Bytes
| {"do_lower_case": false} |