Instructions to use sshleifer/t5-tinier-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sshleifer/t5-tinier-random with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sshleifer/t5-tinier-random") model = AutoModelForSeq2SeqLM.from_pretrained("sshleifer/t5-tinier-random") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 978c18c6e32f298c69e37c499539a7d2d575b45acffbe036bac6463f308616cd
- Size of remote file:
- 8.55 MB
- SHA256:
- 9f33002476f82c9ae08b9138d5b8d9d50513106279d87e71ceb9a70b64c25b2a
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