How to use Turbo-AI/multilingual-e5-large__trim_vocab with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Turbo-AI/multilingual-e5-large__trim_vocab")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Turbo-AI/multilingual-e5-large__trim_vocab") model = AutoModel.from_pretrained("Turbo-AI/multilingual-e5-large__trim_vocab", device_map="auto")
https://huggingface.co/Turbo-AI/multilingual-e5-large__trim_vocab/resolve/main/tokenizer.json
hf download hf://Turbo-AI/multilingual-e5-large__trim_vocab/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/Turbo-AI/multilingual-e5-large__trim_vocab/resolve/main/tokenizer.json
