Instructions to use luohy/rgx-qg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use luohy/rgx-qg with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("luohy/rgx-qg") model = AutoModelForSeq2SeqLM.from_pretrained("luohy/rgx-qg") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2df364f1162ca38bdd082f4e763a27d5ccbcb07c42a5c35e0ce55410f657769c
- Size of remote file:
- 1.63 GB
- SHA256:
- e5f6c65223f53d6c9d47473751dd64a66781d572cc6d51ad8d63a2c5572c39f5
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