Instructions to use marcchew/testv3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marcchew/testv3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="marcchew/testv3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("marcchew/testv3") model = AutoModelForSequenceClassification.from_pretrained("marcchew/testv3") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 60
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 737716196
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:02e7a7b2bd63277731ad007958d60ddac42492e23a06fb4b2d85b395e9ef12c2
|
| 3 |
size 737716196
|
runs/Jul08_17-42-58_f5177d084354/events.out.tfevents.1720460582.f5177d084354.27052.0
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 sha256:1e1c86d23bc1bb6ac759a7b94ddc4a6314a1577ab4b45ab53d8d346a3ee9db35
|
| 3 |
+
size 18955
|