Instructions to use MindscapeRAG/SFT-Emb-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MindscapeRAG/SFT-Emb-8B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="MindscapeRAG/SFT-Emb-8B")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MindscapeRAG/SFT-Emb-8B", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d876564525e5c8f5720d37b77686c0c6f151b5c1f62ba818cd1d5136404f6f63
- Size of remote file:
- 8.59 kB
- SHA256:
- 7f1ecc50f9f179dbc58cdb2ebaf492e4b9b058376d7fe95d5a7057787d25038b
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