Text Generation
PEFT
Safetensors
English
Synthetic
mistral-7b-v0.2
lora
instruction-tuning
food
ingredients
step-by-step
text2text-generation
Instructions to use ingoziegler/CRAFT-RecipeGen-XL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ingoziegler/CRAFT-RecipeGen-XL with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistral-community/Mistral-7B-v0.2") model = PeftModel.from_pretrained(base_model, "ingoziegler/CRAFT-RecipeGen-XL") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,19 @@
|
|
| 1 |
-
---
|
| 2 |
-
license: apache-2.0
|
| 3 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
language:
|
| 4 |
+
- en
|
| 5 |
+
library_name: peft
|
| 6 |
+
tags:
|
| 7 |
+
- synthetic
|
| 8 |
+
- mistral-7b-v0.2
|
| 9 |
+
- lora
|
| 10 |
+
- instruction-tuning
|
| 11 |
+
- food
|
| 12 |
+
- ingredients
|
| 13 |
+
- step-by-step
|
| 14 |
+
datasets:
|
| 15 |
+
- ingoziegler/CRAFT-RecipeGen
|
| 16 |
+
metrics:
|
| 17 |
+
- win_rate
|
| 18 |
+
pipeline_tag: text2text-generation
|
| 19 |
+
---
|