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:
- bb2de742cc777b71a34ac9a37e88e04a49cec0d048025bd1e00dd7defa7989a0
- Size of remote file:
- 3.45 kB
- SHA256:
- de43825782cdaac54bccb8078fe5d10f1ec2f75ff5d2f5f728c1d332eb5fe496
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