Instructions to use Enno-Ai/multilingual-e5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Enno-Ai/multilingual-e5-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Enno-Ai/multilingual-e5-large")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Enno-Ai/multilingual-e5-large") model = AutoModel.from_pretrained("Enno-Ai/multilingual-e5-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download 1_Pooling/config.json from Enno-Ai/multilingual-e5-large: direct link, hf CLI and curl.
- Browser
- Download file 201 Bytes
-
https://huggingface.co/Enno-Ai/multilingual-e5-large/resolve/main/1_Pooling/config.json
- Command line
-
hf download hf://Enno-Ai/multilingual-e5-large/1_Pooling/config.json
-
curl -L -o config.json https://huggingface.co/Enno-Ai/multilingual-e5-large/resolve/main/1_Pooling/config.json
201 Bytes
| { | |
| "word_embedding_dimension": 1024, | |
| "pooling_mode_cls_token": false, | |
| "pooling_mode_mean_tokens": true, | |
| "pooling_mode_max_tokens": false, | |
| "pooling_mode_mean_sqrt_len_tokens": false | |
| } |