Instructions to use Swarnadeep-28/bengali-code-mix-sentiment-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Swarnadeep-28/bengali-code-mix-sentiment-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("xlm-roberta-base") model = PeftModel.from_pretrained(base_model, "Swarnadeep-28/bengali-code-mix-sentiment-lora") - Transformers
How to use Swarnadeep-28/bengali-code-mix-sentiment-lora with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Swarnadeep-28/bengali-code-mix-sentiment-lora")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Swarnadeep-28/bengali-code-mix-sentiment-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 5
Browse files
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 3561656
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d0b675ae75ec527dcd1c47e76b059bb57f892438e7a719f8013f48d971f68db0
|
| 3 |
size 3561656
|