McGill-NLP

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dpr-conversation_encoder-basic_info

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# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("feature-extraction", model="McGill-NLP/dpr-conversation_encoder-basic_info")

# Load model directly
from transformers import AutoTokenizer, AutoModel

tokenizer = AutoTokenizer.from_pretrained("McGill-NLP/dpr-conversation_encoder-basic_info")
model = AutoModel.from_pretrained("McGill-NLP/dpr-conversation_encoder-basic_info")