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:
- 08dd65c74b387d40a8eaab8ae2d262a27ed3f2ca6185c89aa84594dbd352b44a
- Size of remote file:
- 501 MB
- SHA256:
- 24e379d97f83e7f29799c62c0bfaf696e014d0ca8c9332edce85ae501816cf17
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