How to use from
Unsloth StudioInstall 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 FWRust/text-sql-URFU-RTF-2C to start chattingUsing HuggingFace Spaces for Unsloth
# No setup required# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for FWRust/text-sql-URFU-RTF-2C to start chattingLoad model with FastModel
pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
model_name="FWRust/text-sql-URFU-RTF-2C",
max_seq_length=2048,
)Quick Links
Модель обученная для проектного практикума УРФУ РТФ
ВНИМАНИЕ! Этот репозиторий не является цельной моделью, а лишь LoRa адаптерами к оригинальной модели (Mistral-7B-v0.3)
Ноутбук-образец: https://colab.research.google.com/drive/1XFpaepM9BniCTrEtLZBWrHvBIOtPJISr?usp=sharing
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Install Unsloth Studio (macOS, Linux, WSL)
# Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for FWRust/text-sql-URFU-RTF-2C to start chatting