Transformers
Safetensors
English
deberta-v2
reward_model
reward-model
RLHF
evaluation
llm
instruction
reranking
Instructions to use mightbe/Better-PairRM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mightbe/Better-PairRM with Transformers:
# Load model directly from transformers import AutoTokenizer, DebertaV2PairRM tokenizer = AutoTokenizer.from_pretrained("mightbe/Better-PairRM") model = DebertaV2PairRM.from_pretrained("mightbe/Better-PairRM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
#3
by maywell - opened
README.md
CHANGED
|
@@ -22,7 +22,7 @@ tags:
|
|
| 22 |
language:
|
| 23 |
- en
|
| 24 |
---
|
| 25 |
-
# Better Implementation
|
| 26 |
|
| 27 |
## Introduction
|
| 28 |
|
|
|
|
| 22 |
language:
|
| 23 |
- en
|
| 24 |
---
|
| 25 |
+
# Better Implementation of [*PairRM*](https://huggingface.co/llm-blender/PairRM)
|
| 26 |
|
| 27 |
## Introduction
|
| 28 |
|