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 from transformers import pipeline pipe = pipeline("question-answering", model="genloop/FHIR_QnA_Relevance_Classification_Llama-3.1-8b-Base-FT_T2_T1")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("genloop/FHIR_QnA_Relevance_Classification_Llama-3.1-8b-Base-FT_T2_T1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add library name and pipeline tag, link to paper
#1
by nielsr HF Staff - opened
This PR adds the library_name and pipeline_tag, ensuring it can be found at https://huggingface.co/models?pipeline_tag=question-answering as well
as ensuring the "how to use" button appears at the top right.
It also adds a link to the paper page to the model card.
ayushgs changed pull request status to merged