Question Answering
Transformers
Safetensors
English
riad_disease_gpt
medical
disease
healthcare
text-generation
Instructions to use riad-hf/riad-diseases-gpt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use riad-hf/riad-diseases-gpt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="riad-hf/riad-diseases-gpt")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("riad-hf/riad-diseases-gpt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ce464254859e4ca05955bdd02b5ca32e38d0a19c0a5a0babee12da78e1f8546
- Size of remote file:
- 51.1 MB
- SHA256:
- 85010061507400e2715c99cb549c4b54514d6e94f2a77af8f257fb42e7e02724
路
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