Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Definite/klue-bert-cult-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Definite/klue-bert-cult-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Definite/klue-bert-cult-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Definite/klue-bert-cult-classification") model = AutoModelForSequenceClassification.from_pretrained("Definite/klue-bert-cult-classification", device_map="auto") - 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 442505216
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6653bd7785831daa114a85c75282d9e4d3a6ce0a5aa110d39474b6c8b15cbeab
|
| 3 |
size 442505216
|
runs/Nov16_15-38-57_aed49ac9787e/events.out.tfevents.1700149147.aed49ac9787e.599.0
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 sha256:95acd8373490705b329bacb398c03bdef2c642eea10c0b56df067a9742752864
|
| 3 |
+
size 5579
|