Instructions to use bgsach/WizardCoder-Python-13B-V1.0-ct2-int8_float16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bgsach/WizardCoder-Python-13B-V1.0-ct2-int8_float16 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bgsach/WizardCoder-Python-13B-V1.0-ct2-int8_float16", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c8ad104662f7475775976fc73bd091e2a2e9e3cb18ba46f8252452333ac8c41
- Size of remote file:
- 13 GB
- SHA256:
- 3caa018e7e599d9e150683cf87a53116061b89621ca5e7f7a4763b049c9b2224
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