Instructions to use hf-internal-testing/tiny-random-FocalNetBackbone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-FocalNetBackbone with Transformers:
# Load model directly from transformers import AutoImageProcessor, FocalNetBackbone processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-FocalNetBackbone") model = FocalNetBackbone.from_pretrained("hf-internal-testing/tiny-random-FocalNetBackbone") - Notebooks
- Google Colab
- Kaggle
Commit ·
c2c0796
1
Parent(s): eb8c580
Update tiny models for FocalNetBackbone
Browse files- config.json +1 -1
- pytorch_model.bin +1 -1
config.json
CHANGED
|
@@ -61,7 +61,7 @@
|
|
| 61 |
"stage3"
|
| 62 |
],
|
| 63 |
"torch_dtype": "float32",
|
| 64 |
-
"transformers_version": "4.
|
| 65 |
"use_absolute_embeddings": false,
|
| 66 |
"use_conv_embed": false,
|
| 67 |
"use_layerscale": false,
|
|
|
|
| 61 |
"stage3"
|
| 62 |
],
|
| 63 |
"torch_dtype": "float32",
|
| 64 |
+
"transformers_version": "4.30.0.dev0",
|
| 65 |
"use_absolute_embeddings": false,
|
| 66 |
"use_conv_embed": false,
|
| 67 |
"use_layerscale": false,
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 301915
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:69aa04c69bb2095a4727eeeb9215b8d45177352712088dd71e4017d8ed0866e9
|
| 3 |
size 301915
|