Instructions to use hf-internal-testing/tiny-random-t5-v1.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-t5-v1.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-t5-v1.1")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-t5-v1.1") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-t5-v1.1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e144b5c48b144fafe4cfb9c5f5a2988c579afa802563e0d6cbef8ebd8db863e2
- Size of remote file:
- 661 kB
- SHA256:
- ca82324b8a680c4bba95ba892fc01790488b8336e017ad61cba674e2b91b9c81
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