Instructions to use oof-baroomf/MuseGPT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use oof-baroomf/MuseGPT with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("tiiuae/falcon-40b") model = PeftModel.from_pretrained(base_model, "oof-baroomf/MuseGPT") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#1
by librarian-bot - opened
README.md
CHANGED
|
@@ -1,11 +1,12 @@
|
|
| 1 |
---
|
| 2 |
library_name: peft
|
| 3 |
-
pipeline_tag: text-generation
|
| 4 |
-
datasets:
|
| 5 |
-
- oof-baroomf/MuseGPT-43k
|
| 6 |
tags:
|
| 7 |
- music
|
| 8 |
- art
|
|
|
|
|
|
|
|
|
|
|
|
|
| 9 |
---
|
| 10 |
## Training procedure
|
| 11 |
|
|
|
|
| 1 |
---
|
| 2 |
library_name: peft
|
|
|
|
|
|
|
|
|
|
| 3 |
tags:
|
| 4 |
- music
|
| 5 |
- art
|
| 6 |
+
datasets:
|
| 7 |
+
- oof-baroomf/MuseGPT-43k
|
| 8 |
+
pipeline_tag: text-generation
|
| 9 |
+
base_model: tiiuae/falcon-40b
|
| 10 |
---
|
| 11 |
## Training procedure
|
| 12 |
|