Commit
•
a9fea43
1
Parent(s):
ec6e7b5
Update README.md
Browse files
README.md
CHANGED
|
@@ -32,7 +32,6 @@ It achieves the following results on the evaluation set:
|
|
| 32 |
``` python
|
| 33 |
import torch
|
| 34 |
import transformers
|
| 35 |
-
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
|
| 36 |
|
| 37 |
model_name_or_path = "parsi-ai-nlpclass/ParsBERT-nli-FarsTail-FarSick"
|
| 38 |
config = transformers.AutoConfig.from_pretrained(model_name_or_path)
|
|
@@ -42,8 +41,6 @@ model_pb = transformers.AutoModelForSequenceClassification.from_pretrained(model
|
|
| 42 |
premise = "سلام خوبی؟"
|
| 43 |
hypothesis = "آره خوبم"
|
| 44 |
print(model_pb(**tokenizer_pb(premise, hypothesis, return_tensors='pt')))
|
| 45 |
-
|
| 46 |
-
model_pb.to(device)
|
| 47 |
```
|
| 48 |
|
| 49 |
### Training hyperparameters
|
|
|
|
| 32 |
``` python
|
| 33 |
import torch
|
| 34 |
import transformers
|
|
|
|
| 35 |
|
| 36 |
model_name_or_path = "parsi-ai-nlpclass/ParsBERT-nli-FarsTail-FarSick"
|
| 37 |
config = transformers.AutoConfig.from_pretrained(model_name_or_path)
|
|
|
|
| 41 |
premise = "سلام خوبی؟"
|
| 42 |
hypothesis = "آره خوبم"
|
| 43 |
print(model_pb(**tokenizer_pb(premise, hypothesis, return_tensors='pt')))
|
|
|
|
|
|
|
| 44 |
```
|
| 45 |
|
| 46 |
### Training hyperparameters
|