Instructions to use gkteco/distillbert-finetuned-codesearchnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gkteco/distillbert-finetuned-codesearchnet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="gkteco/distillbert-finetuned-codesearchnet", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("gkteco/distillbert-finetuned-codesearchnet") model = AutoModelForMaskedLM.from_pretrained("gkteco/distillbert-finetuned-codesearchnet", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e16bfeb149d0be1d3fa014ad0584bee57668f060015ceb6d84d7fc723257d142
- Size of remote file:
- 5.11 kB
- SHA256:
- 005770002cfdf550c7a882c4db2791fe709a5892e8e9abf358b17b4544c7bf26
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