Instructions to use genloop/FHIR_QnA_Relevance_Classification_Mistral-NeMo-Instruct-FT_T1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use genloop/FHIR_QnA_Relevance_Classification_Mistral-NeMo-Instruct-FT_T1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="genloop/FHIR_QnA_Relevance_Classification_Mistral-NeMo-Instruct-FT_T1")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("genloop/FHIR_QnA_Relevance_Classification_Mistral-NeMo-Instruct-FT_T1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b530162bf7b1ab894d911619aa07903cd7c55495715059d6f1fcc4cb7d17e1a5
- Size of remote file:
- 228 MB
- SHA256:
- 64089cdb72201ccdf91dbe01cbc222ce5cc3518f03e25a07dee999f32886f4e7
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