Instructions to use Brendan/meta-baseline-t5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Brendan/meta-baseline-t5-small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Brendan/meta-baseline-t5-small") model = AutoModelForSeq2SeqLM.from_pretrained("Brendan/meta-baseline-t5-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad2d9940bb652f927676192772b87b1ef49417ade404b9f8e2b5111823d0b87e
- Size of remote file:
- 3.44 kB
- SHA256:
- 8793babdef84b903bcae96d2c78a8a9210b784403207209e9b7da34e411e81f7
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