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 ·
7be26c1
1
Parent(s): 824aedf
Training in progress, step 25
Browse files
config.json
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"layer_norm_eps": 1e-05,
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"layer_norm_eps": 1e-05,
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logs/1674462688.2272708/events.out.tfevents.1674462688.pc092u.2810260.1
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pytorch_model.bin
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