ReaderBench
commited on
Commit
·
cd10edc
1
Parent(s):
0743a18
update how to use
Browse files
README.md
CHANGED
|
@@ -18,19 +18,19 @@ For code and evaluation check out [GitHub](https://github.com/readerbench/RoGPT2
|
|
| 18 |
|
| 19 |
```python
|
| 20 |
# TensorFlow
|
| 21 |
-
from transformers import AutoTokenizer,
|
| 22 |
|
| 23 |
tokenizer = AutoTokenizer.from_pretrained('readerbench/RoGPT2-base')
|
| 24 |
-
model =
|
| 25 |
inputs = tokenizer.encode("Este o zi de vara", return_tensors='tf')
|
| 26 |
text = model.generate(inputs, max_length=1024, no_repeat_ngram_size=2)
|
| 27 |
print(tokenizer.decode(text[0]))
|
| 28 |
|
| 29 |
# PyTorch
|
| 30 |
-
from transformers import AutoTokenizer,
|
| 31 |
|
| 32 |
tokenizer = AutoTokenizer.from_pretrained('readerbench/RoGPT2-base')
|
| 33 |
-
model =
|
| 34 |
inputs = tokenizer.encode("Este o zi de vara", return_tensors='pt')
|
| 35 |
text = model.generate(inputs, max_length=1024, no_repeat_ngram_size=2)
|
| 36 |
print(tokenizer.decode(text[0]))
|
|
|
|
| 18 |
|
| 19 |
```python
|
| 20 |
# TensorFlow
|
| 21 |
+
from transformers import AutoTokenizer, TFAutoModelForCausalLM
|
| 22 |
|
| 23 |
tokenizer = AutoTokenizer.from_pretrained('readerbench/RoGPT2-base')
|
| 24 |
+
model = TFAutoModelForCausalLM.from_pretrained('readerbench/RoGPT2-base')
|
| 25 |
inputs = tokenizer.encode("Este o zi de vara", return_tensors='tf')
|
| 26 |
text = model.generate(inputs, max_length=1024, no_repeat_ngram_size=2)
|
| 27 |
print(tokenizer.decode(text[0]))
|
| 28 |
|
| 29 |
# PyTorch
|
| 30 |
+
from transformers import AutoTokenizer, AutoModelForCausalLM
|
| 31 |
|
| 32 |
tokenizer = AutoTokenizer.from_pretrained('readerbench/RoGPT2-base')
|
| 33 |
+
model = AutoModelForCausalLM.from_pretrained('readerbench/RoGPT2-base')
|
| 34 |
inputs = tokenizer.encode("Este o zi de vara", return_tensors='pt')
|
| 35 |
text = model.generate(inputs, max_length=1024, no_repeat_ngram_size=2)
|
| 36 |
print(tokenizer.decode(text[0]))
|