Instructions to use burakkececi/bert-software-engineering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use burakkececi/bert-software-engineering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="burakkececi/bert-software-engineering")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("burakkececi/bert-software-engineering") model = AutoModelForMaskedLM.from_pretrained("burakkececi/bert-software-engineering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6bf021d6547743ec30da93cba756ec91ac86d7d1e4c3f63f77e5588631e8f318
- Size of remote file:
- 4.92 kB
- SHA256:
- 72d6e837d65662376dd72f2bce3e53e3fe68f88900307a91cb67c31669df0ded
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