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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download onnx/decoder_model.onnx from hf-internal-testing/tiny-random-blenderbot: direct link, hf CLI and curl.
- Browser
- Download file 635 kB
-
https://huggingface.co/hf-internal-testing/tiny-random-blenderbot/resolve/refs%2Fpr%2F2/onnx/decoder_model.onnx
- Command line
-
hf download hf://hf-internal-testing/tiny-random-blenderbot@refs/pr/2/onnx/decoder_model.onnx
-
curl -L -o decoder_model.onnx https://huggingface.co/hf-internal-testing/tiny-random-blenderbot/resolve/refs%2Fpr%2F2/onnx/decoder_model.onnx
635 kB
- Xet hash:
- 6cd98525049fc65ada6b5f5ad0e367c249bc26113ec4cc7333d5ba2f0a8ab12b
- Size of remote file:
- 635 kB
- SHA256:
- 0ccd3b9a919a8c18ea3389537d6421479a43bb31e9536f4395009491b01dd255
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