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:
- b6e6852cbcff6c26e64e6ccf4b622e55359c1390b853fd2e29aee79e416d8ace
- Size of remote file:
- 892 MB
- SHA256:
- 51e30968cb60e4d4a163672c34db90d5878301f6f30bcdddb1d3061afce58ece
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