Instructions to use Colby/apertus-8b-coding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Colby/apertus-8b-coding with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Colby/apertus-8b-coding", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Colby/apertus-8b-coding: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/Colby/apertus-8b-coding/resolve/main/tokenizer.json
- Command line
-
hf download hf://Colby/apertus-8b-coding/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Colby/apertus-8b-coding/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- 23c9b27f61eccd668ba4755f879b92263bcdf5bf2b0d1173b20fb9c05b64e811
- Size of remote file:
- 17.1 MB
- SHA256:
- 010095abf1dc6f52d4867584e7b3f0d4eece854593ae310220ec7782dd1b0a66
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