Instructions to use hanungaddi/classification_aspect_robota_7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hanungaddi/classification_aspect_robota_7 with Transformers:
# Load model directly from transformers import AutoTokenizer, BertForMultiLabelSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hanungaddi/classification_aspect_robota_7") model = BertForMultiLabelSequenceClassification.from_pretrained("hanungaddi/classification_aspect_robota_7", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1b19b692722c0b9242fb9826397b24e8d47fbb51b955041cca3e2887f958dcb1
- Size of remote file:
- 3.51 kB
- SHA256:
- 41540d5daf8a3462fe3f829a010944c1baa4e504cb7ffe7b3059a22dea5c5fe6
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