Instructions to use alpotekhin/rubert-tiny2-socclassif with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alpotekhin/rubert-tiny2-socclassif with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="alpotekhin/rubert-tiny2-socclassif")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("alpotekhin/rubert-tiny2-socclassif") model = AutoModelForSequenceClassification.from_pretrained("alpotekhin/rubert-tiny2-socclassif") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b89c99a814fc00d216550c829b811b9c96022a91768110e5f12fd2e03be08631
- Size of remote file:
- 117 MB
- SHA256:
- bbcadc90c38cad00c398767feb5b80b18bd8e97dfd98ae0355c05b07fd37e5ae
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