Instructions to use skywalker290/videomae-timesformer-d1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use skywalker290/videomae-timesformer-d1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="skywalker290/videomae-timesformer-d1")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("skywalker290/videomae-timesformer-d1") model = AutoModelForVideoClassification.from_pretrained("skywalker290/videomae-timesformer-d1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 9
Browse files- model.safetensors +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 485072256
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7c64392e8efb16a15ecf28e5abcf0d5cadf6cee9cb6feb38bd9ae28dd106a180
|
| 3 |
size 485072256
|