Instructions to use erfanasghariyan/resnet50_roco_radiocaptioner_big with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use erfanasghariyan/resnet50_roco_radiocaptioner_big with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("erfanasghariyan/resnet50_roco_radiocaptioner_big", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload optimized ResNet-50 + Graph Transformer model
Browse files- config.json +1 -0
- roco_best_model.bin +3 -0
config.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"vocab_size": 30522, "embed_dim": 512, "num_layers": 4, "encoder_name": "microsoft/resnet-50", "graph_window_size": 3, "graph_steps": 3}
|
roco_best_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fc3b89304ae123af12383b5ab6af510fb0fdc24c9d2f25dca1e50a6d0337fbda
|
| 3 |
+
size 279334851
|