Instructions to use CodeNinja1126/bert-q-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CodeNinja1126/bert-q-encoder with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("CodeNinja1126/bert-q-encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from CodeNinja1126/bert-q-encoder: direct link, hf CLI and curl.
- Browser
- Download file 804 Bytes
-
https://huggingface.co/CodeNinja1126/bert-q-encoder/resolve/refs%2Fpr%2F1/config.json
- Command line
-
hf download hf://CodeNinja1126/bert-q-encoder@refs/pr/1/config.json
-
curl -L -o config.json https://huggingface.co/CodeNinja1126/bert-q-encoder/resolve/refs%2Fpr%2F1/config.json
804 Bytes
- Xet hash:
- c6e27b051d56ffc7920669b16ee8b7f4798e6e06b230a043cebc053c47a0884e
- Size of remote file:
- 804 Bytes
- SHA256:
- 071b1c025f6463943b0317c07a38eaaaba8606d58d2fa1486c93b238f4016dcf
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