Instructions to use hf-internal-testing/tiny-random-deberta-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-deberta-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-deberta-v2")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-deberta-v2") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-deberta-v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 601bae17b7da80c42928f2d553684b5b722cf929e00ce839be0511645e7b8ae0
- Size of remote file:
- 50.1 MB
- SHA256:
- d6c4545e416434bf3c297a7ca0eadc1df52d8a66ea5d54b2281f4c27dbecffcf
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