Instructions to use claudios/unixcoder-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use claudios/unixcoder-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="claudios/unixcoder-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("claudios/unixcoder-base") model = AutoModel.from_pretrained("claudios/unixcoder-base") - Notebooks
- Google Colab
- Kaggle
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license: apache-2.0
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license: apache-2.0
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> [!NOTE]
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> This is an *unofficial* reupload of [microsoft/unixcoder-base](https://huggingface.co/microsoft/unixcoder-base) in the `SafeTensors` format using `transformers` `4.40.1`. The goal of this reupload is to prevent older models that are still relevant baselines from becoming stale as a result of changes in HuggingFace. Additionally, I may include minor corrections, such as model max length configuration.
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