Instructions to use navjordj/t5_base_VG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use navjordj/t5_base_VG with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("navjordj/t5_base_VG") model = AutoModelForSeq2SeqLM.from_pretrained("navjordj/t5_base_VG", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 69c437a27f2a7564f38241a79bc7f30c990d45e6e92d50656b8144d70c8d53f9
- Size of remote file:
- 2.33 GB
- SHA256:
- 7d6c39f703068552112de941eb41dadc2584ba0ecf04c4aed92a0ba94250d3be
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