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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0cad12967578a63f4a32ea438068487f0057f46620f3dcfa2004792b08bbeb85
- Size of remote file:
- 211 kB
- SHA256:
- bc3f7e491dc5ac5d17823b7f7af6b169eb6b95a9dc1bdd48ace83ffc3c133029
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