Instructions to use genloop/FHIR_QnA_Relevance_Classification_Llama-3.1-8B-BASE-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_Llama-3.1-8B-BASE-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_Llama-3.1-8B-BASE-FT_T1")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("genloop/FHIR_QnA_Relevance_Classification_Llama-3.1-8B-BASE-FT_T1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add model card metadata
#1
by nielsr HF Staff - opened
This PR adds relevant metadata to the model card for this repository. It ensures:
- people can find the model at https://huggingface.co/models?pipeline_tag=question-answering
- the license is correctly specified
- the proper library is added to the metadata
- a link to the project page is present.
ayushgs changed pull request status to merged