Instructions to use hanungaddi/classification_aspect_robota_6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hanungaddi/classification_aspect_robota_6 with Transformers:
# Load model directly from transformers import AutoTokenizer, BertForMultiLabelSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hanungaddi/classification_aspect_robota_6") model = BertForMultiLabelSequenceClassification.from_pretrained("hanungaddi/classification_aspect_robota_6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 83bbe5fc4496d29be8aabdb12a9ae491bcadfa13ee626ea44fa343dc263b51cc
- Size of remote file:
- 3.51 kB
- SHA256:
- 6b7b55c344b8275a3e0b100df876dc2f384df4f085596051ffe04ba67122a457
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