Instructions to use AnhNam/ModernBERT-domain-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnhNam/ModernBERT-domain-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnhNam/ModernBERT-domain-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnhNam/ModernBERT-domain-classifier") model = AutoModelForSequenceClassification.from_pretrained("AnhNam/ModernBERT-domain-classifier") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 0
Browse files- model.safetensors +1 -1
- training_args.bin +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 598439784
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:864d98d7921bbec8a1eefdbbbeb112cde66604386ece08d338249886b7526d27
|
| 3 |
size 598439784
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5304
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8e9a102c96cb9c47498e714ac6e6495785c7fb0368883cfe16aedaa6cf3ddeef
|
| 3 |
size 5304
|