Instructions to use hf-internal-testing/tiny-random-BlenderbotSmallModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-BlenderbotSmallModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-BlenderbotSmallModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-BlenderbotSmallModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-BlenderbotSmallModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3df2e9f08332f1bc1c5bd551219bb45bbae7a9cdc9b3b507bb65d75169d56993
- Size of remote file:
- 3.57 MB
- SHA256:
- 24fd143ea48a863275a8dc5f6d39599678e88d6a992fc7626ff190772ddab318
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