How to use Thermostatic/qwen3-4b-embeddings-akkadian with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Thermostatic/qwen3-4b-embeddings-akkadian") sentences = [ "a-na a-la-hi-im KIŠIB a-mur-IŠTAR", "From Ennānum to Idnaya and Aššur- <big_gap> : In accordance with what I wrote to you with my orders that <big_gap> leads - urgent, pay attention and guard my goods and my donkeys like your own life as you are a gentleman. When Aššur-imittī went to the City he brought some 2 or 3 minas of silver on his own, and in the City Aššur-imittī took 0.5 mina of silver, the working capital of halgiaššu. Clear what textiles and tin he brings on his own and let it remain with him. Send me word. Also, carry out <big_gap> in accordance with my instructions I sent to you. Also, with respect to the interest(?) of Aššur-imittī he must not lie and make me angry at you.", "To Ali-ahum; seal of Amur-Ištar.", "To Ennam-Aššur from Ali-ahum and Amur-Ištar: Sadly, our father has died. It is not Šalim-Aššur who is our father, it is you who are our father. Take care there of our father's instructions and clear up the affairs. You shall not transfer any consignment of our father's to this place. One or two of our investors are staying here. Our dear father and lord, clear it up." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
How to use Thermostatic/qwen3-4b-embeddings-akkadian with Unsloth Studio:
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Thermostatic/qwen3-4b-embeddings-akkadian to start chatting
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Thermostatic/qwen3-4b-embeddings-akkadian to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Thermostatic/qwen3-4b-embeddings-akkadian to start chatting
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Thermostatic/qwen3-4b-embeddings-akkadian", max_seq_length=2048, )
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