Instructions to use FWRust/text-sql-URFU-RTF-2C with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps
- Unsloth Studio new
How to use FWRust/text-sql-URFU-RTF-2C 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 FWRust/text-sql-URFU-RTF-2C 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 FWRust/text-sql-URFU-RTF-2C to start chatting
Using 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 chatting
Load 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, )
readme update
Browse files
README.md
CHANGED
|
@@ -1,5 +1,12 @@
|
|
| 1 |
-
---
|
| 2 |
-
license: unknown
|
| 3 |
-
tags:
|
| 4 |
-
- unsloth
|
| 5 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: unknown
|
| 3 |
+
tags:
|
| 4 |
+
- unsloth
|
| 5 |
+
datasets:
|
| 6 |
+
- Clinton/Text-to-sql-v1
|
| 7 |
+
---
|
| 8 |
+
Модель обученная для проектного практикума УРФУ РТФ
|
| 9 |
+
|
| 10 |
+
ВНИМАНИЕ! Этот репозиторий не является цельной моделью, а лишь LoRa адаптерами к оригинальной модели (Mistral-7B-v0.3)
|
| 11 |
+
|
| 12 |
+
Ноутбук-образец: https://colab.research.google.com/drive/1XFpaepM9BniCTrEtLZBWrHvBIOtPJISr?usp=sharing
|