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")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MindscapeRAG/MiA-Emb-8B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from MindscapeRAG/MiA-Emb-8B: direct link, hf CLI and curl.
- Browser
- Download file 245 MB
-
https://huggingface.co/MindscapeRAG/MiA-Emb-8B/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://MindscapeRAG/MiA-Emb-8B/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/MindscapeRAG/MiA-Emb-8B/resolve/main/adapter_model.safetensors
245 MB
- Xet hash:
- 251fe6fb6873823d688bb35c3ff73d49aa4b3a7faf8f2d8800d0af6de6333423
- Size of remote file:
- 245 MB
- SHA256:
- 68e3f319f3b58cd3de93b59090e8fc23e03431cd6e50f67638950218ecd39a27
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