Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
Urdu
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use mahwizzzz/UrduClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mahwizzzz/UrduClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mahwizzzz/UrduClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mahwizzzz/UrduClassification") model = AutoModelForSequenceClassification.from_pretrained("mahwizzzz/UrduClassification") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7ced6785fdb1499fd40838cca5bb97fcf111cdcac3927be109f3a86cfebcda84
|
| 3 |
+
size 503946944
|