Instructions to use jamjammin/use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jamjammin/use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="jamjammin/use_data_finetuning")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("jamjammin/use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("jamjammin/use_data_finetuning") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 5400
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 166498936
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:887d48ed4f6df36eadd25fc543198b8d5142c65bc65a77b4fd6729f77701d6a4
|
| 3 |
size 166498936
|
runs/Oct15_11-12-52_1e71bba53397/events.out.tfevents.1760527152.1e71bba53397.770.3
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dbdbaef1d742ab2f076f07ad28dd2b84ee76a5d95efb33901a631ae9cde04412
|
| 3 |
+
size 28621
|