Instructions to use KalaiselvanD/model_bert_7000_30 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KalaiselvanD/model_bert_7000_30 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KalaiselvanD/model_bert_7000_30")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KalaiselvanD/model_bert_7000_30") model = AutoModelForSequenceClassification.from_pretrained("KalaiselvanD/model_bert_7000_30") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
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 sha256:58595c5f9fc4755e2cd3a37aa37619cb47b5c9d8a8ece10f9af2d114f446ff2c
|
| 3 |
size 46746988
|
runs/Apr23_05-11-48_fab8c8c5b8db/events.out.tfevents.1713849109.fab8c8c5b8db.215.7
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 sha256:81f8a22c13c5ed87eb7270c452c36763a2931c46ca00612b0a95b8f9bcffe22b
|
| 3 |
+
size 5613
|