Instructions to use APARSIN/multilingual-e5-large-aparsin-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use APARSIN/multilingual-e5-large-aparsin-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="APARSIN/multilingual-e5-large-aparsin-v2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("APARSIN/multilingual-e5-large-aparsin-v2") model = AutoModel.from_pretrained("APARSIN/multilingual-e5-large-aparsin-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from APARSIN/multilingual-e5-large-aparsin-v2: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/APARSIN/multilingual-e5-large-aparsin-v2/resolve/main/tokenizer.json
- Command line
-
hf download hf://APARSIN/multilingual-e5-large-aparsin-v2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/APARSIN/multilingual-e5-large-aparsin-v2/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- c5ef79d1141e9c1e4bcf2f96818e56af2cb15464f0c8cb0a9a2f7f4160e6dc65
- Size of remote file:
- 17.1 MB
- SHA256:
- b74659c780d49afad7a7b9799868f75cbd3014fb6c34956e85a793028d38094a
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