Instructions to use hf-internal-testing/tiny-random-T5ForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-T5ForConditionalGeneration with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-T5ForConditionalGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("hf-internal-testing/tiny-random-T5ForConditionalGeneration") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6394d2550ee993c76b965c9d3445cce7b9f175dea5903e76ffab8f92248da567
- Size of remote file:
- 4.47 MB
- SHA256:
- 4a9764707b99e7599f4ff99d27c16215434703e1ec2793cee1a263dae269a775
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