Instructions to use Data-Lab/rubert-base-cased-conversational_ner-v3 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-v3 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-v3")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Data-Lab/rubert-base-cased-conversational_ner-v3") model = AutoModelForTokenClassification.from_pretrained("Data-Lab/rubert-base-cased-conversational_ner-v3") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e6ed062356ad8a8b3612c4d6b9560243cd93068c0f3cd7310221e14b7505451e
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size 709096284
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