Instructions to use yashmalviya/t5-efficient-tiny-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yashmalviya/t5-efficient-tiny-random with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("yashmalviya/t5-efficient-tiny-random") model = AutoModelForSeq2SeqLM.from_pretrained("yashmalviya/t5-efficient-tiny-random", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 644359d2fa2f4402cb4af26f5ce7db91fffa70ebddee464b24f5a4ebd35e7427
- Size of remote file:
- 62.3 MB
- SHA256:
- da6289eb9dbd9c9be5d70831a23a1a6d4f72d0a1a0421abbe268cc63979540ce
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