Instructions to use hf-internal-testing/tiny-random-SegGptModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-SegGptModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-SegGptModel")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-SegGptModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-SegGptModel") - Notebooks
- Google Colab
- Kaggle
Update tiny models for SegGptModel
Browse files- config.json +1 -1
- model.safetensors +1 -1
config.json
CHANGED
|
@@ -25,6 +25,6 @@
|
|
| 25 |
"pretrain_image_size": 10,
|
| 26 |
"qkv_bias": true,
|
| 27 |
"torch_dtype": "float32",
|
| 28 |
-
"transformers_version": "4.
|
| 29 |
"use_relative_position_embeddings": true
|
| 30 |
}
|
|
|
|
| 25 |
"pretrain_image_size": 10,
|
| 26 |
"qkv_bias": true,
|
| 27 |
"torch_dtype": "float32",
|
| 28 |
+
"transformers_version": "4.40.0.dev0",
|
| 29 |
"use_relative_position_embeddings": true
|
| 30 |
}
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 114944
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:45e67ec6b2bd778097ed4d2ba965cdbbf2f427db1789c0f073049dfae760e561
|
| 3 |
size 114944
|