Instructions to use predibase/glue_cola with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use predibase/glue_cola with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1") model = PeftModel.from_pretrained(base_model, "predibase/glue_cola") - Notebooks
- Google Colab
- Kaggle
Upload README.md with huggingface_hub
Browse files
README.md
CHANGED
|
@@ -4,7 +4,7 @@ base_model: mistralai/Mistral-7B-v0.1
|
|
| 4 |
pipeline_tag: text-generation
|
| 5 |
---
|
| 6 |
Description: Grammar and syntax acceptability\
|
| 7 |
-
Original dataset:
|
| 8 |
---\
|
| 9 |
Try querying this adapter for free in Lora Land at https://predibase.com/lora-land! \
|
| 10 |
The adapter_category is Academic Benchmarks and the name is Linguistic Acceptability (CoLA)\
|
|
|
|
| 4 |
pipeline_tag: text-generation
|
| 5 |
---
|
| 6 |
Description: Grammar and syntax acceptability\
|
| 7 |
+
Original dataset: https://huggingface.co/datasets/glue/viewer/cola \
|
| 8 |
---\
|
| 9 |
Try querying this adapter for free in Lora Land at https://predibase.com/lora-land! \
|
| 10 |
The adapter_category is Academic Benchmarks and the name is Linguistic Acceptability (CoLA)\
|