How to use institutional/institutional-newspapers-crop-classifier-text-model2vec with Model2Vec:
from model2vec import StaticModel model = StaticModel.from_pretrained("institutional/institutional-newspapers-crop-classifier-text-model2vec") embeddings = model.encode(["It's dangerous to go alone!", "It's a secret to everybody."]) print(embeddings.shape)
https://huggingface.co/institutional/institutional-newspapers-crop-classifier-text-model2vec/resolve/main/tokenizer.json
hf download hf://institutional/institutional-newspapers-crop-classifier-text-model2vec/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/institutional/institutional-newspapers-crop-classifier-text-model2vec/resolve/main/tokenizer.json
