Instructions to use KalaiselvanD/model_albert_5000_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KalaiselvanD/model_albert_5000_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KalaiselvanD/model_albert_5000_1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KalaiselvanD/model_albert_5000_1") model = AutoModelForSequenceClassification.from_pretrained("KalaiselvanD/model_albert_5000_1") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 16
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:ae1d9143fadca471588c55c20f5ae2959ae7ce3aea00237cd894c8bb3b49524c
|
| 3 |
size 46746988
|
runs/Apr18_08-11-01_31ae40229384/events.out.tfevents.1713427861.31ae40229384.349.7
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:f6b573fdeb06c80f9fbf3c0b44dec02ae3310e044910c0af41600c5ce86983c7
|
| 3 |
+
size 11730
|