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:
# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Upload ONNX weights (#4)
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Upload tiny models for T5ForConditionalGeneration
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Upload tiny models for T5ForConditionalGeneration
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Upload tiny models for T5ForConditionalGeneration
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initial commit
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