Instructions to use ZZZZCCCC/codebert_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZZZZCCCC/codebert_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ZZZZCCCC/codebert_1")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ZZZZCCCC/codebert_1") model = AutoModelForMaskedLM.from_pretrained("ZZZZCCCC/codebert_1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4bd074cbf7f692b2f141418961a90dc88842a8a0dadd7e454fef4ac99487580a
- Size of remote file:
- 499 MB
- SHA256:
- c41edb1dfd690d9f5f6bfb87215f185892626c4f55448f603ab87bb79c660db9
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