Instructions to use Vincent-Xiao/codebert-curs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vincent-Xiao/codebert-curs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Vincent-Xiao/codebert-curs")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Vincent-Xiao/codebert-curs") model = AutoModel.from_pretrained("Vincent-Xiao/codebert-curs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 033f61052faf35b9142bc834d590a288932bd4e25ea3cd041b21b6678c4d4163
- Size of remote file:
- 501 MB
- SHA256:
- 42cd05aaf31ea05892b6b77679c526ca977e1f8a176ec23180ee7ecf51cf4350
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