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:
- 18bbf271ceef8e1b2983ea58a11e2e64a265a6c77c0f9e89ca2182149d3ba206
- Size of remote file:
- 501 MB
- SHA256:
- 7ae5c50c1c3fe7c5923432dfe90d586426523d7ddb0bc7a7420ea6d6a6a167dd
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