Instructions to use itismeTithi/AspectBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use itismeTithi/AspectBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="itismeTithi/AspectBERT")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("itismeTithi/AspectBERT") model = AutoModel.from_pretrained("itismeTithi/AspectBERT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eff7b0394df67eb2a4d0817f5ef7d28c8745fb8c0feb972f16855abde1169fb6
- Size of remote file:
- 793 kB
- SHA256:
- 7a6a5c3b93287b390e9de7443504f83b2ac73e417513a19856c7a81f561d6755
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