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/encoder_model.onnx from hf-internal-testing/tiny-random-blenderbot: direct link, hf CLI and curl.
- Browser
- Download file 570 kB
-
https://huggingface.co/hf-internal-testing/tiny-random-blenderbot/resolve/refs%2Fpr%2F2/onnx/encoder_model.onnx
- Command line
-
hf download hf://hf-internal-testing/tiny-random-blenderbot@refs/pr/2/onnx/encoder_model.onnx
-
curl -L -o encoder_model.onnx https://huggingface.co/hf-internal-testing/tiny-random-blenderbot/resolve/refs%2Fpr%2F2/onnx/encoder_model.onnx
570 kB
- Xet hash:
- 18a9b09b81671e062ed11ad48dc51c0da084b27b130af29713b873fc6172b0e7
- Size of remote file:
- 570 kB
- SHA256:
- 0c8cebe530f1cd0c230061845ec93c4e35a196ff7511d2ed465a5bd8d1883bfd
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