Instructions to use huggingface-hub-ci/test-model-on-the-fly-f9a92262-285c-456a-a322-6164fd1ea529 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-f9a92262-285c-456a-a322-6164fd1ea529 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-f9a92262-285c-456a-a322-6164fd1ea529")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("huggingface-hub-ci/test-model-on-the-fly-f9a92262-285c-456a-a322-6164fd1ea529") model = AutoModel.from_pretrained("huggingface-hub-ci/test-model-on-the-fly-f9a92262-285c-456a-a322-6164fd1ea529") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
b9a5895 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:a3630b502976a3cb952d1ed54c1248a152ee265ea131a74a07c68790a7740d45
size 246515
|