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:
- 516ede46b5d1289baa1b4e9ee20a29995fe4e39238b7765451713522d29a45dc
- Size of remote file:
- 128 kB
- SHA256:
- 0429b5beb33220f59be70064bd5268abfa8ccc52a89e325fbcba7587dd8f0e8a
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