Instructions to use KalaiselvanD/model_albert_20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KalaiselvanD/model_albert_20 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KalaiselvanD/model_albert_20")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KalaiselvanD/model_albert_20") model = AutoModelForSequenceClassification.from_pretrained("KalaiselvanD/model_albert_20") - 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 46746988
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bcb940e9c81bcc80ee7b179523b72153aa9ca6b6ef3b2c3d29774d6e210dc91c
|
| 3 |
size 46746988
|
runs/Apr18_07-40-41_31ae40229384/events.out.tfevents.1713426042.31ae40229384.349.0
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 sha256:3f6fd5954b953ee66867b0fc0123f1040e6a53de08daf47e1481da4b1b1c2f99
|
| 3 |
+
size 6042
|