Instructions to use hf-tiny-model-private/tiny-random-BlenderbotSmallModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-BlenderbotSmallModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-tiny-model-private/tiny-random-BlenderbotSmallModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-BlenderbotSmallModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-BlenderbotSmallModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fe77152a3e517ae0dcc0d00d98c4f4c2a631d2585e86cc449d9eed89ab98275c
- Size of remote file:
- 3.56 MB
- SHA256:
- 8e389c06582ee55d83ffe354b771791524c1623d794fe8544b9e0bbdd2735adc
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