Update app.py
Browse files
app.py
CHANGED
|
@@ -1,12 +1,17 @@
|
|
| 1 |
import torch
|
| 2 |
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
|
| 3 |
import gradio as gr
|
|
|
|
| 4 |
|
| 5 |
# Load model
|
| 6 |
model_path = "./banglat5_bn_sy" # path inside Space
|
| 7 |
tokenizer = AutoTokenizer.from_pretrained(model_path, use_fast=False)
|
| 8 |
model = AutoModelForSeq2SeqLM.from_pretrained(model_path)
|
| 9 |
|
|
|
|
|
|
|
|
|
|
|
|
|
| 10 |
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
|
| 11 |
model.to(device)
|
| 12 |
|
|
|
|
| 1 |
import torch
|
| 2 |
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
|
| 3 |
import gradio as gr
|
| 4 |
+
from peft import PeftModel
|
| 5 |
|
| 6 |
# Load model
|
| 7 |
model_path = "./banglat5_bn_sy" # path inside Space
|
| 8 |
tokenizer = AutoTokenizer.from_pretrained(model_path, use_fast=False)
|
| 9 |
model = AutoModelForSeq2SeqLM.from_pretrained(model_path)
|
| 10 |
|
| 11 |
+
# model_path = "Sabbir772/BnT5Sy"
|
| 12 |
+
# tokenizer = AutoTokenizer.from_pretrained(model_path, use_fast=False)
|
| 13 |
+
# model = AutoTokenizer.from_pretrained(model_path)
|
| 14 |
+
# model.eval()
|
| 15 |
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
|
| 16 |
model.to(device)
|
| 17 |
|