How to use novelcore/model20 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("novelcore/model20") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
How to use novelcore/model20 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("novelcore/model20") model = AutoModelForMaskedLM.from_pretrained("novelcore/model20", device_map="auto")
https://huggingface.co/novelcore/model20/resolve/main/config_sentence_transformers.json
hf download hf://novelcore/model20/config_sentence_transformers.json
curl -L -o config_sentence_transformers.json https://huggingface.co/novelcore/model20/resolve/main/config_sentence_transformers.json
