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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add model card metadata
#1
by nielsr HF Staff - opened
This PR adds the pipeline_tag, library_name, and license metadata, ensuring the model can be found at https://huggingface.co/models?pipeline_tag=question-answering, as well as making clear to users which license the model uses.
Updated the license, borrowed the other changes. Thanks for the suggestion.
ayushgs changed pull request status to closed