Transformers
PyTorch
Safetensors
English
t5
text2text-generation
medical
dialog
text-generation-inference
Instructions to use alimoezzi/ReportQL-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alimoezzi/ReportQL-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("alimoezzi/ReportQL-base") model = AutoModelForSeq2SeqLM.from_pretrained("alimoezzi/ReportQL-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 01273b7d0194fc2eaf934e502ae9c9f4669f61da7760db8f739baeea0ca15fed
- Size of remote file:
- 892 MB
- SHA256:
- 17b4dc57e4e70b3e14892b74302f10f147e59fb24d16a7fd3f7b260a851d37e5
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