Instructions to use sooh-j/VQA-for-VIP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sooh-j/VQA-for-VIP with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="sooh-j/VQA-for-VIP")# Load model directly from transformers import AutoProcessor, AutoModelForVisualQuestionAnswering processor = AutoProcessor.from_pretrained("sooh-j/VQA-for-VIP") model = AutoModelForVisualQuestionAnswering.from_pretrained("sooh-j/VQA-for-VIP") - Notebooks
- Google Colab
- Kaggle
Upload Blip2ForConditionalGeneration
Browse files- config.json +1 -1
- model-00001-of-00004.safetensors +1 -1
- model-00002-of-00004.safetensors +1 -1
- model-00003-of-00004.safetensors +1 -1
config.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"_name_or_path": "
|
| 3 |
"architectures": [
|
| 4 |
"Blip2ForConditionalGeneration"
|
| 5 |
],
|
|
|
|
| 1 |
{
|
| 2 |
+
"_name_or_path": "sooh-j/VQA-for-VIP",
|
| 3 |
"architectures": [
|
| 4 |
"Blip2ForConditionalGeneration"
|
| 5 |
],
|
model-00001-of-00004.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4986896152
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3ad19daa33c314760e8f2aa89d5509d3c659667062b87437eb0ae12da4c5d0b3
|
| 3 |
size 4986896152
|
model-00002-of-00004.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4982878872
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e7920a00291c3056e6e2d177db8470acd1b2a336c7419ea0d6f42c9d7c9b926f
|
| 3 |
size 4982878872
|
model-00003-of-00004.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4904215096
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2a8758b1abcd54294d9d36943b0de2c74caff6e41e15180ffd5b90c4c5af06ff
|
| 3 |
size 4904215096
|