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Aniemore
/
rubert-tiny-emotion-russian-cedr-m7-quantized

Text Classification
Transformers
Safetensors
Russian
emotion-recognition
russian
multi-label-classification
quantized
compressed-tensors
int8
fp8
int4
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use Aniemore/rubert-tiny-emotion-russian-cedr-m7-quantized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Aniemore/rubert-tiny-emotion-russian-cedr-m7-quantized with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Aniemore/rubert-tiny-emotion-russian-cedr-m7-quantized")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Aniemore/rubert-tiny-emotion-russian-cedr-m7-quantized", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
rubert-tiny-emotion-russian-cedr-m7-quantized / fp8
112 MB
Ctrl+K
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  • 1 contributor
History: 1 commit
Ar4ikov's picture
Ar4ikov
Add INT8, FP8 and INT4 builds
1dbb37f verified about 18 hours ago
  • config.json
    2.09 kB
    Add INT8, FP8 and INT4 builds about 18 hours ago
  • model.safetensors
    110 MB
    xet
    Add INT8, FP8 and INT4 builds about 18 hours ago
  • recipe.yaml
    699 Bytes
    Add INT8, FP8 and INT4 builds about 18 hours ago
  • tokenizer.json
    2.41 MB
    Add INT8, FP8 and INT4 builds about 18 hours ago
  • tokenizer_config.json
    596 Bytes
    Add INT8, FP8 and INT4 builds about 18 hours ago