Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use Feudor2/RuHalluBERT-base-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Feudor2/RuHalluBERT-base-v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Feudor2/RuHalluBERT-base-v3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Feudor2/RuHalluBERT-base-v3") model = AutoModelForSequenceClassification.from_pretrained("Feudor2/RuHalluBERT-base-v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32a5dcd3d47fe47aeaf66d75e25729209f7f9e16480696dde153e9ccd9c6d7ee
- Size of remote file:
- 5.33 kB
- SHA256:
- 7c08bf0776c48f5e7bd88be847e6ea1c11a22da3e226d1b68a74c563111f3e44
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