Instructions to use hf-tiny-model-private/tiny-random-BlenderbotModel 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-BlenderbotModel 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-BlenderbotModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-BlenderbotModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-BlenderbotModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 04b3b050f82342ae248cf620aebee7c8eab3c025a5b1add44c9085edff8adb97
- Size of remote file:
- 137 kB
- SHA256:
- c6c5b9aaf22dad5ad3bb9f1cb1172921bbb8cc625f0a9e1c3c0c9489cdcf4b6e
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