Instructions to use ybelkada/random-tiny-BertGenerationModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ybelkada/random-tiny-BertGenerationModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ybelkada/random-tiny-BertGenerationModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ybelkada/random-tiny-BertGenerationModel") model = AutoModel.from_pretrained("ybelkada/random-tiny-BertGenerationModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a25969e176b73a46cb185bae11ef11a4f86a2cb06bbfc3d281cfe3109156ed78
- Size of remote file:
- 477 kB
- SHA256:
- 6f99b386fad5a8858103f31796964d87617271f1a939b76be5309d37a0afc364
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