Instructions to use jakezou/test-trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jakezou/test-trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jakezou/test-trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jakezou/test-trainer") model = AutoModelForSequenceClassification.from_pretrained("jakezou/test-trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 438003505
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5c17b903cee144274f37b8ab5b1ed1e097857da5bea1a4320536c4c6da2493ab
|
| 3 |
size 438003505
|
runs/Jul25_12-16-33_33f6f23e442a/events.out.tfevents.1690287427.33f6f23e442a.290.0
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:cb28aa3075f55f58af1e491892069c2976bef08bdc25ac8c503c4bff543b9f1b
|
| 3 |
+
size 4180
|