Instructions to use habibi26/docvqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use habibi26/docvqa with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/paligemma-3b-ft-ocrvqa-224") model = PeftModel.from_pretrained(base_model, "habibi26/docvqa") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 40
Browse files
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 90454136
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cc72ca1bb384236fe6d8ec7ccddf7ad0a8cb4999da729e4a77f0d065f98fe86a
|
| 3 |
size 90454136
|