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:
- 5da6ef8c397b434e75fac7448c34350ee7ebf4f031de24d685ea9836c13f51a0
- Size of remote file:
- 16.6 MB
- SHA256:
- 74f7697ba1f60aeb2d51f03f33453c6804862937533bf9b11bd87a88c6fe1420
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