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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 37
Browse files
pytorch_model.bin
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runs/May31_19-41-00_0a6cc1fa56e9/events.out.tfevents.1685562071.0a6cc1fa56e9.2144.4
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