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:
- 8b8b61ea3ac2395759627d3da98e96c91435674a507863b3d03f0825e9515a30
- Size of remote file:
- 4.73 kB
- SHA256:
- e1571fffc9c3efeff83b26833f12b0f0a026f436f461d1a568bdbc5296369d2e
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