Instructions to use 0x7o/rubert-base-massive-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 0x7o/rubert-base-massive-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="0x7o/rubert-base-massive-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("0x7o/rubert-base-massive-ner") model = AutoModelForTokenClassification.from_pretrained("0x7o/rubert-base-massive-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
Danil +1: SFconvertbot - Adding `safetensors` variant of this model (fa628df51ac5e095c661ce0df4c2c4e16228c984) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>3996fb2 -
Update README.md
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update model card README.md
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End of training
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initial commit
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