Update README.md
Browse files
README.md
CHANGED
|
@@ -63,8 +63,8 @@ EmCoder achieves competitive F1-score with its compact size (~35% smaller than R
|
|
| 63 |
|
| 64 |
|
| 65 |
## How to use
|
| 66 |
-
EmCoder uses the `roberta-base` tokenizer for correct token-to-embedding mapping.
|
| 67 |
### 1. Setup & Tokenization
|
|
|
|
| 68 |
```python
|
| 69 |
import torch
|
| 70 |
from transformers import AutoModel, AutoTokenizer
|
|
|
|
| 63 |
|
| 64 |
|
| 65 |
## How to use
|
|
|
|
| 66 |
### 1. Setup & Tokenization
|
| 67 |
+
EmCoder uses the `roberta-base` tokenizer for correct token-to-embedding mapping.
|
| 68 |
```python
|
| 69 |
import torch
|
| 70 |
from transformers import AutoModel, AutoTokenizer
|