Instructions to use Gsj49/adaptiveG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gsj49/adaptiveG with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Gsj49/adaptiveG", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download models/coding/fixed64/seed42/step500/tokenizer.json from Gsj49/adaptiveG: direct link, hf CLI and curl.
- Browser
- Download file 2.29 MB
-
https://huggingface.co/Gsj49/adaptiveG/resolve/main/models/coding/fixed64/seed42/step500/tokenizer.json
- Command line
-
hf download hf://Gsj49/adaptiveG/models/coding/fixed64/seed42/step500/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Gsj49/adaptiveG/resolve/main/models/coding/fixed64/seed42/step500/tokenizer.json
2.29 MB
File too large to display, you can check the raw version instead.