Instructions to use supermaxmodels/testm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use supermaxmodels/testm with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("ybelkada/falcon-7b-sharded-bf16") model = PeftModel.from_pretrained(base_model, "supermaxmodels/testm") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#1
by librarian-bot - opened
README.md
CHANGED
|
@@ -3,6 +3,7 @@ library_name: peft
|
|
| 3 |
tags:
|
| 4 |
- text-generation
|
| 5 |
- text-generation-inference
|
|
|
|
| 6 |
---
|
| 7 |
## Training procedure
|
| 8 |
|
|
|
|
| 3 |
tags:
|
| 4 |
- text-generation
|
| 5 |
- text-generation-inference
|
| 6 |
+
base_model: ybelkada/falcon-7b-sharded-bf16
|
| 7 |
---
|
| 8 |
## Training procedure
|
| 9 |
|