Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
Russian
distilbert
text-embeddings-inference
Instructions to use pa-shk/postcard_multilabel_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pa-shk/postcard_multilabel_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pa-shk/postcard_multilabel_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pa-shk/postcard_multilabel_classifier") model = AutoModelForSequenceClassification.from_pretrained("pa-shk/postcard_multilabel_classifier") - Notebooks
- Google Colab
- Kaggle
postcard_multilabel_classifier
postcard_multilabel_classifier was finetuned on corpus of postcards (mostly in Russian) https://sysblok.ru/postcards/. The weights of the model were initialized from DeepPavlov/distilrubert-tiny-cased-conversational-v1.
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