Feature Extraction
Transformers
ONNX
nomic_bert
quantized
int8
code-search
embedding
nomic-bert
text-embeddings-inference
Instructions to use mrsladoje/CodeRankEmbed-onnx-int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrsladoje/CodeRankEmbed-onnx-int8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="mrsladoje/CodeRankEmbed-onnx-int8")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("mrsladoje/CodeRankEmbed-onnx-int8") model = AutoModel.from_pretrained("mrsladoje/CodeRankEmbed-onnx-int8") - Notebooks
- Google Colab
- Kaggle
Ctrl+K