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 20
Browse files
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 45258384
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a8fab78951788111f6f392eaefefd11de8c6513df21aaf53b46be3a893141a7c
|
| 3 |
size 45258384
|
runs/Jul28_00-39-21_66352b463b33/events.out.tfevents.1722127174.66352b463b33.35.0
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:46c2c8ee36387d4991565b59433956b41dacee576dd35edb145af366692ea3d7
|
| 3 |
+
size 6070
|