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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3fa9a4e91879ccafbe75ba7138a314dfbb80d9d97d6ed32f018c9b7bac11b80d
- Size of remote file:
- 504 MB
- SHA256:
- 648468869ff2976e41b8c1429143066fb90f9c4dca261416be225701c3d9b43c
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