Instructions to use genloop/FHIR_QnA_Mistral-NeMo-Base-500-FT_T2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use genloop/FHIR_QnA_Mistral-NeMo-Base-500-FT_T2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="genloop/FHIR_QnA_Mistral-NeMo-Base-500-FT_T2")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("genloop/FHIR_QnA_Mistral-NeMo-Base-500-FT_T2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1718f4d219c100368885a1d0f39f96b8e0f259cc85729158a31c1fdc2770bee9
- Size of remote file:
- 228 MB
- SHA256:
- 648c5a9a51d5da86655c327783e2e4a53f9b85132fef6b1cdb4e7bd156fb26f6
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