Instructions to use tiagoblima/t5_small-qg-ctx-a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tiagoblima/t5_small-qg-ctx-a with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tiagoblima/t5_small-qg-ctx-a") model = AutoModelForSeq2SeqLM.from_pretrained("tiagoblima/t5_small-qg-ctx-a", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 403711c8e3a488ac0cda4b6432ae05cf8e04d82512b6002b5a0242b90789c1dc
- Size of remote file:
- 4.79 kB
- SHA256:
- 4b780e6f754e9002099f024378202e6a5dea60deb52619fdce620819de40525a
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