Instructions to use Tatiana239/lilt-ruroberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tatiana239/lilt-ruroberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Tatiana239/lilt-ruroberta")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Tatiana239/lilt-ruroberta") model = AutoModelForTokenClassification.from_pretrained("Tatiana239/lilt-ruroberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
5177180
1
Parent(s): 484a1d0
Training in progress, step 5
Browse files
config.json
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"LiltForTokenClassification"
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"_name_or_path": "lilt-RuBioRoBERTa",
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"architectures": [
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"LiltForTokenClassification"
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