Instructions to use huggingface-hub-ci/test-model-on-the-fly-f9afe50d-e4c0-469a-8307-acadf548c3d7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use huggingface-hub-ci/test-model-on-the-fly-f9afe50d-e4c0-469a-8307-acadf548c3d7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="huggingface-hub-ci/test-model-on-the-fly-f9afe50d-e4c0-469a-8307-acadf548c3d7")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("huggingface-hub-ci/test-model-on-the-fly-f9afe50d-e4c0-469a-8307-acadf548c3d7") model = AutoModel.from_pretrained("huggingface-hub-ci/test-model-on-the-fly-f9afe50d-e4c0-469a-8307-acadf548c3d7") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b9c53a6fc60a9b6f47ecb5c476a3cfc2a7ea5ababb553939b1046222c5e417ce
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size 227780
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