Instructions to use Shani123/multilingual-e5-large-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shani123/multilingual-e5-large-instruct with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Shani123/multilingual-e5-large-instruct")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Shani123/multilingual-e5-large-instruct") model = AutoModel.from_pretrained("Shani123/multilingual-e5-large-instruct", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 19e5191d4ccbc040d80422493b1411786a8800a844e10e27627f6d65016be4e6
- Size of remote file:
- 849 MB
- SHA256:
- 9817cb869a152054772d6c59979f5d095cc7496df0f6fa0faa8f58e20f42eb39
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