Instructions to use Quexoo/vision-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Quexoo/vision-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Quexoo/vision-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Quexoo/vision-classifier") model = AutoModelForSequenceClassification.from_pretrained("Quexoo/vision-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 3
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 437967876
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6f7a0e701ee54b67bcd09c48585850f3e1d9423e1f5f60eb01210127a1d1e930
|
| 3 |
size 437967876
|
runs/Nov15_04-52-08_TIM/events.out.tfevents.1731646329.TIM.215316.0
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 sha256:2fe9d22415ba8b7e619e88ed547aef91aae9bc6f12eabc1b40a28f2a7d51d14a
|
| 3 |
+
size 6408
|