Instructions to use bgsach/WizardCoder-Python-7B-V1.0-ct2-float16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bgsach/WizardCoder-Python-7B-V1.0-ct2-float16 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bgsach/WizardCoder-Python-7B-V1.0-ct2-float16", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocabulary.json from bgsach/WizardCoder-Python-7B-V1.0-ct2-float16: direct link, hf CLI and curl.
- Browser
- Download file 509 kB
-
https://huggingface.co/bgsach/WizardCoder-Python-7B-V1.0-ct2-float16/resolve/main/vocabulary.json
- Command line
-
hf download hf://bgsach/WizardCoder-Python-7B-V1.0-ct2-float16/vocabulary.json
-
curl -L -o vocabulary.json https://huggingface.co/bgsach/WizardCoder-Python-7B-V1.0-ct2-float16/resolve/main/vocabulary.json
509 kB
File too large to display, you can check the raw version instead.