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:
- 8c4cf28e31a2255101cd9edb2b11d18f023e10aab5171bbd18f5e21401335e77
- Size of remote file:
- 271 MB
- SHA256:
- 3bb2295f5bc968b2387c43281a732698ce3a428db74ee6ef41bc38b375f81b27
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