Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use Feudor2/RuHalluBERT-base-v5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Feudor2/RuHalluBERT-base-v5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Feudor2/RuHalluBERT-base-v5")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Feudor2/RuHalluBERT-base-v5") model = AutoModelForSequenceClassification.from_pretrained("Feudor2/RuHalluBERT-base-v5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b2784e01bce4efe29aa11a2213c97b41b7fca29e729f3ac703666914b0d2558
- Size of remote file:
- 5.33 kB
- SHA256:
- 160575eee0c3d5dc2d001fff274b2d5f9407d7b06ff1bd246031a1fdc58a87a4
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