How to use ItsnotAilabs/HAM-384 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ItsnotAilabs/HAM-384") 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 ItsnotAilabs/HAM-384 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ItsnotAilabs/HAM-384") model = AutoModel.from_pretrained("ItsnotAilabs/HAM-384", device_map="auto")
https://huggingface.co/ItsnotAilabs/HAM-384/resolve/main/__pycache__/inference.cpython-311.pyc
hf download hf://ItsnotAilabs/HAM-384/__pycache__/inference.cpython-311.pyc
curl -L -o inference.cpython-311.pyc https://huggingface.co/ItsnotAilabs/HAM-384/resolve/main/__pycache__/inference.cpython-311.pyc
