Instructions to use alexandraroze/codebert-cross-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alexandraroze/codebert-cross-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="alexandraroze/codebert-cross-encoder")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("alexandraroze/codebert-cross-encoder") model = AutoModelForSequenceClassification.from_pretrained("alexandraroze/codebert-cross-encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from alexandraroze/codebert-cross-encoder: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/alexandraroze/codebert-cross-encoder/resolve/main/model.safetensors
- Command line
-
hf download hf://alexandraroze/codebert-cross-encoder/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/alexandraroze/codebert-cross-encoder/resolve/main/model.safetensors
499 MB
- Xet hash:
- 51bea54b4af6d3938bd1f0e3210bcaa9e9502cfd8391b4306e08ba77ff5d475e
- Size of remote file:
- 499 MB
- SHA256:
- 9feb4fbe3dc0cc7e80143f95851a2aa0a311b50d0ffc72a40e6a24f6255ea7dd
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