Instructions to use Myashka/mil_ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Myashka/mil_ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Myashka/mil_ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Myashka/mil_ner") model = AutoModelForTokenClassification.from_pretrained("Myashka/mil_ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cdbcee8ce7587078c2223062b9e6766f182c75f5c29bfd7f975c748855f9dda4
- Size of remote file:
- 709 MB
- SHA256:
- 044422186f183227e890a16272dfb6a029848e3a08b931cff56bdc3023fac4f9
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