Instructions to use Data-Lab/rubert-base-cased-conversational_ner-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Data-Lab/rubert-base-cased-conversational_ner-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Data-Lab/rubert-base-cased-conversational_ner-v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Data-Lab/rubert-base-cased-conversational_ner-v1") model = AutoModelForTokenClassification.from_pretrained("Data-Lab/rubert-base-cased-conversational_ner-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Pushing Data-Lab/rubert-base-cased-conversational_ner-v2 model to Hugging Face Hub
2b66593 -
Training in progress, epoch 1
38f69e2
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Pushing Data-Lab/rubert-base-cased-conversational_ner-v2 model to Hugging Face Hub
b1ad351 -
Training in progress, epoch 1
8eb5896 -
initial commit
677c77b