Instructions to use anhdt-dsai-02/ViT5_base_3072_5_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anhdt-dsai-02/ViT5_base_3072_5_1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("anhdt-dsai-02/ViT5_base_3072_5_1") model = AutoModelForSeq2SeqLM.from_pretrained("anhdt-dsai-02/ViT5_base_3072_5_1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f86bd369f89f4dac16e0d76b740d51284f4808c1cb688eb1683e2a688070a04
- Size of remote file:
- 3.77 kB
- SHA256:
- 865ff95cc3250176df5c7e7689781c37013e3fb84c618aaddcff8c15e859270d
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