Instructions to use huggingface-hub-ci/test-model-on-the-fly-f336e3fa-90db-43cd-9ea8-28a257507ba3 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-f336e3fa-90db-43cd-9ea8-28a257507ba3 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-f336e3fa-90db-43cd-9ea8-28a257507ba3")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("huggingface-hub-ci/test-model-on-the-fly-f336e3fa-90db-43cd-9ea8-28a257507ba3") model = AutoModel.from_pretrained("huggingface-hub-ci/test-model-on-the-fly-f336e3fa-90db-43cd-9ea8-28a257507ba3") - Notebooks
- Google Colab
- Kaggle
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