Instructions to use ZZZZCCCC/codebert_5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZZZZCCCC/codebert_5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ZZZZCCCC/codebert_5")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ZZZZCCCC/codebert_5") model = AutoModelForMaskedLM.from_pretrained("ZZZZCCCC/codebert_5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed51b6aa61f0ae095584dd56b20fc1f28465f9f9c21b374ac87653b7a3c9c5e7
- Size of remote file:
- 499 MB
- SHA256:
- d86161132337d66e23d9865b6c6180e9ca749aa8d88c6f7e71ac4d87e3bf6c18
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