Instructions to use KalaiselvanD/albert_model__29_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KalaiselvanD/albert_model__29_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KalaiselvanD/albert_model__29_2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KalaiselvanD/albert_model__29_2") model = AutoModelForSequenceClassification.from_pretrained("KalaiselvanD/albert_model__29_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 6
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 267835644
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:82caad19d2c4f10dc770f97bf1ff92ee29dd2b0bf2d76e653f1e3c6694e68191
|
| 3 |
size 267835644
|
runs/Apr29_07-06-40_904c24a47388/events.out.tfevents.1714374402.904c24a47388.5243.0
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:a0a433720a6632a96585572a9181014033938f62a4946fb7563f0447870f1845
|
| 3 |
+
size 7280
|