Instructions to use jin5605/Jins_cppe5_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jin5605/Jins_cppe5_use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="jin5605/Jins_cppe5_use_data_finetuning")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("jin5605/Jins_cppe5_use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("jin5605/Jins_cppe5_use_data_finetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1200
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:be6dd226e45b1ae4004069b3c3b8dc3663ec5e8888a266f650bb36c567535a13
|
| 3 |
size 166498936
|
runs/Jan26_10-26-38_133bab4bf075/events.out.tfevents.1706264805.133bab4bf075.314.0
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:b66452bcaf83980a26dc9daa019b4b36acd42012a47d21435f45967edd9d131f
|
| 3 |
+
size 8749
|