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:
- 9a6e3c4cf262741fcc21ce241a30102dd7f1dc44ef656551b624d8d4c6c39c83
- Size of remote file:
- 904 MB
- SHA256:
- 717a847710b3eb9fddfac257d401fe32595ebbfe4f00a108e940c5fd274c25c4
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