Instructions to use neulab/codebert-python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use neulab/codebert-python with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="neulab/codebert-python")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("neulab/codebert-python") model = AutoModelForMaskedLM.from_pretrained("neulab/codebert-python") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 43048383f3153b69e0127dba9b7415a4b2c1ff449323be20038787527eae1d7c
- Size of remote file:
- 499 MB
- SHA256:
- 41880d61f0331579ae0dc7ac3bde105b240d04083ff1c8b239ddd1c1c67fc941
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