description update
Browse files
README.md
CHANGED
|
@@ -48,11 +48,9 @@ It achieves the following results on the evaluation set:
|
|
| 48 |
|
| 49 |
This model is light and performs very fast. No matter on GPU or CPU, it always summarizes in <1s. If you use optimum, it may get even faster.
|
| 50 |
|
| 51 |
-
## Use the model
|
| 52 |
-
|
| 53 |
Click the following link to open the model's demo:<br/> https://huggingface.co/spaces/Rahmat82/RHM-text-summarizer-light
|
| 54 |
|
| 55 |
-
### Use model:
|
| 56 |
```python
|
| 57 |
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer, pipeline
|
| 58 |
|
|
|
|
| 48 |
|
| 49 |
This model is light and performs very fast. No matter on GPU or CPU, it always summarizes in <1s. If you use optimum, it may get even faster.
|
| 50 |
|
|
|
|
|
|
|
| 51 |
Click the following link to open the model's demo:<br/> https://huggingface.co/spaces/Rahmat82/RHM-text-summarizer-light
|
| 52 |
|
| 53 |
+
### Use the model:
|
| 54 |
```python
|
| 55 |
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer, pipeline
|
| 56 |
|