Instructions to use ZZZZCCCC/codebert_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZZZZCCCC/codebert_3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ZZZZCCCC/codebert_3")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ZZZZCCCC/codebert_3") model = AutoModelForMaskedLM.from_pretrained("ZZZZCCCC/codebert_3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 706e2ef1f5c5790ab118634b1d2149186e3152c8e7249dd4de7a8e406cbfb4a3
- Size of remote file:
- 499 MB
- SHA256:
- 84013c8b0aabf0c4b47b9fe278933a1a1e8d58ee4c7a160270e16bef0688dd4d
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