Instructions to use ZZZZCCCC/codebert_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZZZZCCCC/codebert_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ZZZZCCCC/codebert_2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ZZZZCCCC/codebert_2") model = AutoModelForMaskedLM.from_pretrained("ZZZZCCCC/codebert_2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3bdf2e408ac946a2f29783f2c29aa692fff335df9bc0f56a5e52ab870a4ddac6
- Size of remote file:
- 499 MB
- SHA256:
- afccec7f944815b0835e4c0ccf4ffeb6efc07e89ccbf6fa99a9957adf0b015a3
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