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:
- 8544da943f0fc4f4463e9222481026b63c7d00d8131e9c64f2f5518b1c8f3109
- Size of remote file:
- 892 MB
- SHA256:
- 3103fe437ef425b6b956106a5ff5c0020e4779adfdab536896e86599e246b89e
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