How to use fresha/e5-large-v2-endpoint with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="fresha/e5-large-v2-endpoint")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("fresha/e5-large-v2-endpoint") model = AutoModel.from_pretrained("fresha/e5-large-v2-endpoint", device_map="auto")
https://huggingface.co/fresha/e5-large-v2-endpoint/resolve/main/tokenizer.json
hf download hf://fresha/e5-large-v2-endpoint/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/fresha/e5-large-v2-endpoint/resolve/main/tokenizer.json
