Instructions to use daki97/visualbert_finetuned_easy_vqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use daki97/visualbert_finetuned_easy_vqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="daki97/visualbert_finetuned_easy_vqa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("daki97/visualbert_finetuned_easy_vqa") model = AutoModelForQuestionAnswering.from_pretrained("daki97/visualbert_finetuned_easy_vqa") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#3
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:27c04f8d8c183924cab4482889bca3e1fc22f3783035e2a24646fed84af9b608
|
| 3 |
+
size 440760252
|