Instructions to use chiayewken/aspect-sentiment-pretrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chiayewken/aspect-sentiment-pretrain with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="chiayewken/aspect-sentiment-pretrain")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("chiayewken/aspect-sentiment-pretrain") model = AutoModel.from_pretrained("chiayewken/aspect-sentiment-pretrain") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e38b24c6548ce03e6ed984540bf386484594d4c2cdd474aa36161311946e3a75
- Size of remote file:
- 438 MB
- SHA256:
- 2754c0bc77c9c3e2fbc2cad238e1c4ed9124c89499c8fda86613de0a362aed00
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.