Instructions to use optimum-intel-internal-testing/tiny-random-deberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use optimum-intel-internal-testing/tiny-random-deberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="optimum-intel-internal-testing/tiny-random-deberta")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("optimum-intel-internal-testing/tiny-random-deberta") model = AutoModel.from_pretrained("optimum-intel-internal-testing/tiny-random-deberta") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 45d6285d25de42cd3c1f2565ba32fff93ea02b0bb19d431e298a735d2c20ad56
- Size of remote file:
- 338 kB
- SHA256:
- e55f3d901fa2dc1984b717170eab11421d5c9eb27d3c52cff92684e5e4f194ad
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