Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use sibstrider/rubert-tiny2-finetuned-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sibstrider/rubert-tiny2-finetuned-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sibstrider/rubert-tiny2-finetuned-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sibstrider/rubert-tiny2-finetuned-classification") model = AutoModelForSequenceClassification.from_pretrained("sibstrider/rubert-tiny2-finetuned-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e670fea0f8f54e4362bb57d9c3ee3dbf43a9e089d8f036cdfa6c343019dcbd22
- Size of remote file:
- 234 MB
- SHA256:
- 4aeebf43b1ade4aa19097b47374b189545d575da3b604de9e6ff7cbecb97e14f
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