Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AptaArkana/indonesian_toxic_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AptaArkana/indonesian_toxic_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AptaArkana/indonesian_toxic_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AptaArkana/indonesian_toxic_classification") model = AutoModelForSequenceClassification.from_pretrained("AptaArkana/indonesian_toxic_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Rangga saputra commited on
Commit ·
7ed0b91
1
Parent(s): f3a4d18
Training in progress, step 1000
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 442308981
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f2820fe4eb32b9585dc2c402369f74b8a8302f4ca9647b311197f5d37dde8a67
|
| 3 |
size 442308981
|
runs/Aug16_14-57-57_LAPTOP-3Q1KSFUN/events.out.tfevents.1692172688.LAPTOP-3Q1KSFUN.8536.0
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:f29203060ecfccfa3de628ac4e146b2f0f56ee17ed8e7b3c27a1a0c6be0f65da
|
| 3 |
+
size 4817
|