Instructions to use hanungaddi/classification_aspect_robota_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hanungaddi/classification_aspect_robota_4 with Transformers:
# Load model directly from transformers import AutoTokenizer, BertForMultiLabelSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hanungaddi/classification_aspect_robota_4") model = BertForMultiLabelSequenceClassification.from_pretrained("hanungaddi/classification_aspect_robota_4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 92353377b79c49354dbe5ba822437a003afca24e3f6aa240624b4427fe18427e
- Size of remote file:
- 3.51 kB
- SHA256:
- 83e3b9f7584dbe79f6daa8447dbd376c6c3feff32e217863f62c109a18452260
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