Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use Feudor2/RuHalluBERT-base-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Feudor2/RuHalluBERT-base-v4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Feudor2/RuHalluBERT-base-v4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Feudor2/RuHalluBERT-base-v4") model = AutoModelForSequenceClassification.from_pretrained("Feudor2/RuHalluBERT-base-v4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 646ed505deef7f48c63ac9059c573ec8082c6632a171bd327964f907256f7313
- Size of remote file:
- 5.33 kB
- SHA256:
- 4539f61964ab3183020f9f9e841d3a9c26173b552011568566539371475d67dd
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