How to use McGill-NLP/dpr-conversation_encoder-basic_info with Transformers:
# 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")
What is a pickle import?
