Instructions to use ZZZZCCCC/codebert_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZZZZCCCC/codebert_4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ZZZZCCCC/codebert_4")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ZZZZCCCC/codebert_4") model = AutoModelForMaskedLM.from_pretrained("ZZZZCCCC/codebert_4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fc13582992c92c0a40682f6fe36d3f5acb12be716de9d748ab36857c91c5db2f
- Size of remote file:
- 499 MB
- SHA256:
- a5a4faa4f1817fe08ea660159a06457a9394e615aa4ecee3fd4d98e276528b63
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