Instructions to use yashvardhan7/multilingual-e5-large-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yashvardhan7/multilingual-e5-large-instruct with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="yashvardhan7/multilingual-e5-large-instruct")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("yashvardhan7/multilingual-e5-large-instruct") model = AutoModel.from_pretrained("yashvardhan7/multilingual-e5-large-instruct") - Notebooks
- Google Colab
- Kaggle
| onnx/model.onnx_data filter=lfs diff=lfs merge=lfs -text | |
| sentencepiece.bpe.model filter=lfs diff=lfs merge=lfs -text | |
| tokenizer.json filter=lfs diff=lfs merge=lfs -text | |
| onnx/model_quantized.onnx filter=lfs diff=lfs merge=lfs -text | |
| onnx/model.onnx filter=lfs diff=lfs merge=lfs -text | |