How to use rlhn/e5-small-default-1.6M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="rlhn/e5-small-default-1.6M")
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("rlhn/e5-small-default-1.6M") model = AutoModel.from_pretrained("rlhn/e5-small-default-1.6M")
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