Instructions to use hotchpotch/vespa-onnx-intfloat-multilingual-e5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hotchpotch/vespa-onnx-intfloat-multilingual-e5-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hotchpotch/vespa-onnx-intfloat-multilingual-e5-large")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hotchpotch/vespa-onnx-intfloat-multilingual-e5-large") model = AutoModel.from_pretrained("hotchpotch/vespa-onnx-intfloat-multilingual-e5-large") - Notebooks
- Google Colab
- Kaggle
Can you please add bfloat16 onnx model as well?
1
#1 opened 11 months ago
by
YashasviMantha