Instructions to use pogtador/codebert-so with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pogtador/codebert-so with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="pogtador/codebert-so")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("pogtador/codebert-so") model = AutoModelForMaskedLM.from_pretrained("pogtador/codebert-so") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ecc66d34e543e3263370b1f213f03ed580fa23bdbbd45bfdac7964068d353859
- Size of remote file:
- 499 MB
- SHA256:
- 0f6bf29a5990fca66d4b27e4e55aed9f0e3bee3b25040d2827fbc3cbc9cefc8a
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