How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("feature-extraction", model="riccorl/e5-base-v2-csqa-examples", trust_remote_code=True)
# Load model directly
from transformers import AutoTokenizer, AutoModel

tokenizer = AutoTokenizer.from_pretrained("riccorl/e5-base-v2-csqa-examples", trust_remote_code=True)
model = AutoModel.from_pretrained("riccorl/e5-base-v2-csqa-examples", trust_remote_code=True)
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Model size
0.1B params
Tensor type
F32
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