Instructions to use hanungaddi/classification_aspect_robota_5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hanungaddi/classification_aspect_robota_5 with Transformers:
# Load model directly from transformers import AutoTokenizer, BertForMultiLabelSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hanungaddi/classification_aspect_robota_5") model = BertForMultiLabelSequenceClassification.from_pretrained("hanungaddi/classification_aspect_robota_5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 302a155a2d1d2a7df47e62957e2cac065cb6761936a324c3f693bc3310db3419
- Size of remote file:
- 3.51 kB
- SHA256:
- 1009bc63b142917216e7e3c91068c44a24e4505cd27fb04678f68ba30a868cc1
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