Feature Extraction
Transformers
Safetensors
xlm-roberta
retrieval
dense-retrieval
information-retrieval
embedding
agentic-search
deep-research
text-embeddings-inference
Instructions to use Yuqi-Zhou/LRAT-multilingual-e5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yuqi-Zhou/LRAT-multilingual-e5-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Yuqi-Zhou/LRAT-multilingual-e5-large")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Yuqi-Zhou/LRAT-multilingual-e5-large") model = AutoModel.from_pretrained("Yuqi-Zhou/LRAT-multilingual-e5-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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