How to use XiaSheng/FreeChunk-nomic with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("XiaSheng/FreeChunk-nomic", trust_remote_code=True) model = AutoModel.from_pretrained("XiaSheng/FreeChunk-nomic", trust_remote_code=True, device_map="auto")
How to use XiaSheng/FreeChunk-nomic with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("XiaSheng/FreeChunk-nomic", trust_remote_code=True) sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3]
https://huggingface.co/XiaSheng/FreeChunk-nomic/resolve/main/__pycache__/encoder.cpython-312.pyc
hf download hf://XiaSheng/FreeChunk-nomic/__pycache__/encoder.cpython-312.pyc
curl -L -o encoder.cpython-312.pyc https://huggingface.co/XiaSheng/FreeChunk-nomic/resolve/main/__pycache__/encoder.cpython-312.pyc
