add model
Browse files
app.py
CHANGED
@@ -6,8 +6,15 @@ import torch
|
|
6 |
from transformers import GPT2LMHeadModel, GPT2Tokenizer
|
7 |
|
8 |
device = torch.device("cuda:0") if torch.cuda.is_available() else torch.device("cpu")
|
|
|
9 |
tokenizer = GPT2Tokenizer.from_pretrained("dendee-geco_test-on-zuco1.0_gpt2_tmptoken_TRT_bs32_lr1e6_linearLR")
|
10 |
model = GPT2LMHeadModel.from_pretrained("dendee-geco_test-on-zuco1.0_gpt2_tmptoken_TRT_bs32_lr1e6_linearLR", return_dict=True)
|
|
|
|
|
|
|
|
|
|
|
|
|
11 |
model.to(device)
|
12 |
|
13 |
|
|
|
6 |
from transformers import GPT2LMHeadModel, GPT2Tokenizer
|
7 |
|
8 |
device = torch.device("cuda:0") if torch.cuda.is_available() else torch.device("cpu")
|
9 |
+
# dundee-geco
|
10 |
tokenizer = GPT2Tokenizer.from_pretrained("dendee-geco_test-on-zuco1.0_gpt2_tmptoken_TRT_bs32_lr1e6_linearLR")
|
11 |
model = GPT2LMHeadModel.from_pretrained("dendee-geco_test-on-zuco1.0_gpt2_tmptoken_TRT_bs32_lr1e6_linearLR", return_dict=True)
|
12 |
+
|
13 |
+
# zuco
|
14 |
+
tokenizer = GPT2Tokenizer.from_pretrained("zuco1.0_gpt2_tmptoken_TRT_bs32_lr1e5_linearLR")
|
15 |
+
model = GPT2LMHeadModel.from_pretrained("zuco1.0_gpt2_tmptoken_TRT_bs32_lr1e5_linearLR", return_dict=True)
|
16 |
+
|
17 |
+
|
18 |
model.to(device)
|
19 |
|
20 |
|