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:
- 4e3d137494aa85cb588d487b43449882f799d29e9f0a9e29f8c41ca8171da598
- Size of remote file:
- 499 MB
- SHA256:
- b96022334a02675d3cce85bc1ef159802c3e6724669393dc05e4eb53aa4a750c
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