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:
- 2984b4649d028e5a59cb4ab21b8f07671c89935f0e0ee16442e9c79502377a57
- Size of remote file:
- 499 MB
- SHA256:
- 8130e8739f247fae8076d2c193f2363bbc6b88b391c1269448565a6d13c8842a
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