Instructions to use malteos/aspect-scibert-method with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use malteos/aspect-scibert-method with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="malteos/aspect-scibert-method")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("malteos/aspect-scibert-method") model = AutoModel.from_pretrained("malteos/aspect-scibert-method") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 84dc7d2842bc95bc8314c9eeda196900305d742d04f929ca5ddac7a72233ce70
- Size of remote file:
- 440 MB
- SHA256:
- 9575ce034f607625643212bb01813298b8fcbf63aaca60deb2afc339399a55f3
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