Instructions to use SaulLu/distilbert-copy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SaulLu/distilbert-copy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="SaulLu/distilbert-copy")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SaulLu/distilbert-copy") model = AutoModel.from_pretrained("SaulLu/distilbert-copy") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ae2c4a4cefa4649f9b35f45c9e5cba0821ab21f47c0e4a404ccff8adcd0847f
- Size of remote file:
- 265 MB
- SHA256:
- d58f7b42e70659c44d68fa5cf4616d42f303e076cf53135ed51c22fe3e2c906d
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