Instructions to use MindscapeRAG/MiA-Emb-0.6B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MindscapeRAG/MiA-Emb-0.6B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="MindscapeRAG/MiA-Emb-0.6B")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MindscapeRAG/MiA-Emb-0.6B", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add pipeline tag and library name to model card
#1
by nielsr HF Staff - opened
Hi! I'm Niels from the Hugging Face community science team.
This PR improves the model card metadata by adding:
pipeline_tag: feature-extraction: This helps users find the model when filtering by task on the Hub.library_name: transformers: This enables the "Use in Transformers" button and automated code snippets.
The metadata has been updated at the top of the file, while the existing comprehensive usage instructions and paper information are preserved.