Instructions to use jncraton/deepseek-coder-1.3b-instruct-ct2-int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jncraton/deepseek-coder-1.3b-instruct-ct2-int8 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jncraton/deepseek-coder-1.3b-instruct-ct2-int8", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab698e9f94cd6ce0bea00095fb3783585bfbf0a7aaf8021a78e314d08f8f0a3f
- Size of remote file:
- 1.35 GB
- SHA256:
- 826747afa83821a43b431b33713199e02cc97a8deceafdda5f5acc2e92dc6ac3
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