Instructions to use Alirezamp/my_ALBert_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alirezamp/my_ALBert_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Alirezamp/my_ALBert_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Alirezamp/my_ALBert_model") model = AutoModelForSequenceClassification.from_pretrained("Alirezamp/my_ALBert_model") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
Browse files
runs/Jul24_09-44-37_2ee6dc000d09/events.out.tfevents.1721814282.2ee6dc000d09.34.0
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:a51fa0d279950e95bb05b37529ac59578bef9c340b4d4cc08721aaec93315ad2
|
| 3 |
+
size 8199
|