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igorktech
/
rubert-tiny-review

Text Classification
Transformers
PyTorch
Safetensors
bert
text-embeddings-inference
Model card Files
xet
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1
How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="igorktech/rubert-tiny-review")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("igorktech/rubert-tiny-review")
model = AutoModelForSequenceClassification.from_pretrained("igorktech/rubert-tiny-review")
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Model card

Trained on open joined datasets:

  • clothes reviews
  • different shops reviews

Data distribution

FIELD1 sentiment
positive 114599
neutral 29079
negative 28772

Score

FIELD1 binary micro macro
0 0.7165 0.9137 0.8328
1 0.6011 0.8782 0.7646
2 0.9542 0.94 0.9336
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Safetensors
Model size
11.8M params
Tensor type
I64
·
F32
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