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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bgsach/WizardCoder-Python-13B-V1.0-ct2-int8_float16", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from bgsach/WizardCoder-Python-13B-V1.0-ct2-int8_float16: direct link, hf CLI and curl.
- Browser
- Download file 103 Bytes
-
https://huggingface.co/bgsach/WizardCoder-Python-13B-V1.0-ct2-int8_float16/resolve/main/config.json
- Command line
-
hf download hf://bgsach/WizardCoder-Python-13B-V1.0-ct2-int8_float16/config.json
-
curl -L -o config.json https://huggingface.co/bgsach/WizardCoder-Python-13B-V1.0-ct2-int8_float16/resolve/main/config.json
103 Bytes
| { | |
| "bos_token": "</s>", | |
| "eos_token": "</s>", | |
| "layer_norm_epsilon": 1e-05, | |
| "unk_token": "</s>" | |
| } | |