Instructions to use MilkyLatte/q-g-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MilkyLatte/q-g-model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("MilkyLatte/q-g-model") model = AutoModelForSeq2SeqLM.from_pretrained("MilkyLatte/q-g-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2bd7e1b7439bf39a57e2b0cde24fed74578b430f0f7677621247bc84cbeb7e11
- Size of remote file:
- 892 MB
- SHA256:
- 58d2bf9b865c348949680f2e24db33e51f1eaff68afa47b947ceffbb7097258a
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