Instructions to use tim-d/CurtGPT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tim-d/CurtGPT with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("teknium/Puffin-Phi-v2") model = PeftModel.from_pretrained(base_model, "tim-d/CurtGPT") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#1
by librarian-bot - opened
README.md
CHANGED
|
@@ -1,14 +1,17 @@
|
|
| 1 |
---
|
| 2 |
-
license: other
|
| 3 |
language:
|
| 4 |
- en
|
| 5 |
-
|
|
|
|
| 6 |
datasets:
|
| 7 |
- LDJnr/Puffin
|
| 8 |
- pvduy/rm_hh_helpful_only
|
| 9 |
-
|
| 10 |
widget:
|
| 11 |
-
- text:
|
|
|
|
|
|
|
|
|
|
| 12 |
---
|
| 13 |
<table>
|
| 14 |
<tr>
|
|
|
|
| 1 |
---
|
|
|
|
| 2 |
language:
|
| 3 |
- en
|
| 4 |
+
license: other
|
| 5 |
+
library_name: peft
|
| 6 |
datasets:
|
| 7 |
- LDJnr/Puffin
|
| 8 |
- pvduy/rm_hh_helpful_only
|
| 9 |
+
pipeline_tag: text-generation
|
| 10 |
widget:
|
| 11 |
+
- text: 'USER: What''s better, farming, or using computers (which suck)
|
| 12 |
+
|
| 13 |
+
ASSISTANT:'
|
| 14 |
+
base_model: teknium/Puffin-Phi-v2
|
| 15 |
---
|
| 16 |
<table>
|
| 17 |
<tr>
|