Instructions to use Thermostatic/qwen3-4b-embeddings-akkadian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

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]

Notebooks
Google Colab
Kaggle
Local Apps Settings

Unsloth Studio

How to use Thermostatic/qwen3-4b-embeddings-akkadian with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

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

Install Unsloth Studio (Windows)

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

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Thermostatic/qwen3-4b-embeddings-akkadian to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="Thermostatic/qwen3-4b-embeddings-akkadian",
    max_seq_length=2048,
)

qwen3-4b-embeddings-akkadian / model-00001-of-00002.safetensors

Thermostatic

Upload folder using huggingface_hub

7273af3 verified 5 months ago

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