Instructions to use Lazyhope/unixcoder-nine-advtest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lazyhope/unixcoder-nine-advtest with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Lazyhope/unixcoder-nine-advtest")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Lazyhope/unixcoder-nine-advtest") model = AutoModel.from_pretrained("Lazyhope/unixcoder-nine-advtest") - Notebooks
- Google Colab
- Kaggle
Commit ·
143ebbe
1
Parent(s): ccd34fc
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (d39d650d18acfa0eec19f1a916f1a4b320eeb48e)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:76a8e1f0649454299df349d700ae09990c178cd1488a6314fcab9548eed4e010
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size 503749592
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