Instructions to use selfconstruct3d/AITGroupEMB with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use selfconstruct3d/AITGroupEMB with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="selfconstruct3d/AITGroupEMB")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("selfconstruct3d/AITGroupEMB") model = AutoModel.from_pretrained("selfconstruct3d/AITGroupEMB", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from selfconstruct3d/AITGroupEMB: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/selfconstruct3d/AITGroupEMB/resolve/main/model.safetensors
- Command line
-
hf download hf://selfconstruct3d/AITGroupEMB/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/selfconstruct3d/AITGroupEMB/resolve/main/model.safetensors
438 MB
- Xet hash:
- de5d0f7cc5597ae38c01253416c91c6c4fb9ac427a01adf517e0fb378699d8b2
- Size of remote file:
- 438 MB
- SHA256:
- 892f4a391acb481178c53d17388c01c292f5c2c055b176e4bdda0918802e574a
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