Instructions to use igorktech/rubert-tiny-review with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use igorktech/rubert-tiny-review with Transformers:
# 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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 81c6cc7361fa0e99751e7668501743b3a66d261bc3ad31b3a52aba22bb7e95e5
- Size of remote file:
- 47.2 MB
- SHA256:
- 807769a11ef16ea2c5a1d3172680d3da9a2ac88ae6e26adf4d43fa103be18c8c
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