Instructions to use chaley22/gemma-captioning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chaley22/gemma-captioning with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b") model = PeftModel.from_pretrained(base_model, "chaley22/gemma-captioning") - Notebooks
- Google Colab
- Kaggle
Update adapter_config.json
Browse files- adapter_config.json +1 -1
adapter_config.json
CHANGED
|
@@ -10,7 +10,7 @@
|
|
| 10 |
"layers_pattern": null,
|
| 11 |
"layers_to_transform": null,
|
| 12 |
"loftq_config": {},
|
| 13 |
-
"lora_alpha":
|
| 14 |
"lora_dropout": 0.0,
|
| 15 |
"megatron_config": null,
|
| 16 |
"megatron_core": "megatron.core",
|
|
|
|
| 10 |
"layers_pattern": null,
|
| 11 |
"layers_to_transform": null,
|
| 12 |
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 8,
|
| 14 |
"lora_dropout": 0.0,
|
| 15 |
"megatron_config": null,
|
| 16 |
"megatron_core": "megatron.core",
|