Instructions to use hf-internal-testing/tiny-random-blenderbot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-blenderbot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-blenderbot")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-blenderbot") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-blenderbot") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7987550893b9110a7f3b07cffb8d7ca380e2739e8acc3ad19c37310218792523
- Size of remote file:
- 3.08 MB
- SHA256:
- 6c491cb1209ec81e004a4534cd4ca5c7c6a9e2f73afd4ebe97d95d3cd6af9239
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