Instructions to use vahmohh/t5-qag-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vahmohh/t5-qag-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("vahmohh/t5-qag-base") model = AutoModelForSeq2SeqLM.from_pretrained("vahmohh/t5-qag-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6621a56eab094bb6b49bff197fb3bcdef1893fc02a28072b0f3b158af2e85fff
- Size of remote file:
- 14.2 MB
- SHA256:
- 51cdd7d00e7db8aa43df6e66ee14c9ca33cda26409bd26ef9b85ce9bf90ed120
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