Instructions to use alexandraroze/mixedbread-code-cross-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alexandraroze/mixedbread-code-cross-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="alexandraroze/mixedbread-code-cross-encoder")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("alexandraroze/mixedbread-code-cross-encoder") model = AutoModelForSequenceClassification.from_pretrained("alexandraroze/mixedbread-code-cross-encoder") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 97651e303d083f6e1604afbee254eb7d0798436b5b94fd622860a8061bc83fac
- Size of remote file:
- 738 MB
- SHA256:
- 0451e379be033a0160d838d654d4a98b05f1c4afc0de8dcfe5619d6eaa03f2f5
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