Instructions to use genloop/FHIR_QnA_Relevance_Classification_Llama-3.1-8b-Base-FT_T2_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_Llama-3.1-8b-Base-FT_T2_T1 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="genloop/FHIR_QnA_Relevance_Classification_Llama-3.1-8b-Base-FT_T2_T1")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("genloop/FHIR_QnA_Relevance_Classification_Llama-3.1-8b-Base-FT_T2_T1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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