Instructions to use MindscapeRAG/MiA-Emb-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MindscapeRAG/MiA-Emb-8B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="MindscapeRAG/MiA-Emb-8B")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MindscapeRAG/MiA-Emb-8B", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add pipeline tag and library name metadata
#1
by nielsr HF Staff - opened
This PR improves the model card by adding the pipeline_tag: feature-extraction and library_name: transformers to the YAML metadata. These additions help categorize the model correctly on the Hugging Face Hub and enable automated code snippets for users. The task type was identified from the adapter_config.json and the provided inference code.