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 pytorch_model.bin from TypicaAI/magbert-ner: direct link, hf CLI and curl.
- Browser
- Download file 443 MB
-
https://huggingface.co/TypicaAI/magbert-ner/resolve/refs%2Fpr%2F2/pytorch_model.bin
- Command line
-
hf download hf://TypicaAI/magbert-ner@refs/pr/2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/TypicaAI/magbert-ner/resolve/refs%2Fpr%2F2/pytorch_model.bin
443 MB
- Xet hash:
- b0218e8defa36612e905bcef4e6a9f38c568d55aac60a3b563ba3f70990d993e
- Size of remote file:
- 443 MB
- SHA256:
- 3248308b22b432eb8087547e87887c196cc55d7f0065481ba027da52103c772f
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