How to use tranhuudan-fullstack-ai-engineer/stage3_v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("tranhuudan-fullstack-ai-engineer/stage3_v1") 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 tranhuudan-fullstack-ai-engineer/stage3_v1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("tranhuudan-fullstack-ai-engineer/stage3_v1") model = AutoModel.from_pretrained("tranhuudan-fullstack-ai-engineer/stage3_v1", device_map="auto")
https://huggingface.co/tranhuudan-fullstack-ai-engineer/stage3_v1/resolve/main/bpe.codes
hf download hf://tranhuudan-fullstack-ai-engineer/stage3_v1/bpe.codes
curl -L -o bpe.codes https://huggingface.co/tranhuudan-fullstack-ai-engineer/stage3_v1/resolve/main/bpe.codes
