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") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6f99b386fad5a8858103f31796964d87617271f1a939b76be5309d37a0afc364
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size 476970
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