Instructions to use hf-internal-testing/tiny-random-BlenderbotModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-BlenderbotModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-BlenderbotModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-BlenderbotModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-BlenderbotModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2b2b8e9670078cbdda4387bcf7b4911c8626af7dfaf29ac7130938e6b8333d85
- Size of remote file:
- 117 kB
- SHA256:
- 451f256c614aff6d08f6484ab61a609e06e224159b69461b14d33fea4b33e052
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