Downloads · 30 days
41
0% of all-time downloads
predibase/glue_qqp
glue_qqp is a text generation model from predibase. Use it when you need the model to write or continue text. It is set up for peft.
Description: Do the questions have the same meaning?\ Original dataset: https://huggingface.co/datasets/glue/viewer/qqp \ ---\ Try querying this adapter for free in Lora Land at https://predibase.com/lora-land! \ The…
Downloads · 30 days
41
0% of all-time downloads
All-time downloads
8.5K
Public
Repo size
13.6 MB
Likes
2
Public
Click a slice to open those files.
.safetensors13.6 MB · 100%
From the Hugging Face model README
Description: Do the questions have the same meaning?
Original dataset: https://huggingface.co/datasets/glue/viewer/qqp
---
Try querying this adapter for free in Lora Land at https://predibase.com/lora-land!
The adapter_category is Academic Benchmarks and the name is Question Comparison (QQP)
---
Sample input: You are given two questions below, Question 1 and Question 2. If the two questions are semantically equivalent, please return 1. Otherwise, please return 0.\n\n### Question 1: How do I buy used car in India?\n\n### Question 2: Which used car should I buy in India?\n\n### Label:
---
Sample output: 0
---
Try using this adapter yourself!
from transformers import AutoModelForCausalLM, AutoTokenizer
model_id = "mistralai/Mistral-7B-v0.1"
peft_model_id = "predibase/glue_qqp"
model = AutoModelForCausalLM.from_pretrained(model_id)
model.load_adapter(peft_model_id)