Instructions to use Elvis-t9/CGE-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Elvis-t9/CGE-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Elvis-t9/CGE-test", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Elvis-t9/CGE-test", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download modules.json from Elvis-t9/CGE-test: direct link, hf CLI and curl.
- Browser
- Download file 113 Bytes
-
https://huggingface.co/Elvis-t9/CGE-test/resolve/refs%2Fpr%2F2/modules.json
- Command line
-
hf download hf://Elvis-t9/CGE-test@refs/pr/2/modules.json
-
curl -L -o modules.json https://huggingface.co/Elvis-t9/CGE-test/resolve/refs%2Fpr%2F2/modules.json
113 Bytes
| [ | |
| { | |
| "idx": 0, | |
| "name": "0", | |
| "path": "", | |
| "type": "sentence_transformers.models.Transformer" | |
| } | |
| ] |