Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -1,10 +1,12 @@
|
|
1 |
import gradio as gr
|
2 |
import spaces
|
3 |
import transformers
|
4 |
-
from transformers import AutoTokenizer,AutoModelForCausalLM
|
5 |
from transformers import pipeline
|
6 |
import torch
|
7 |
import os
|
|
|
|
|
|
|
8 |
|
9 |
api_token = os.environ.get("APIKEY")
|
10 |
|
@@ -12,7 +14,6 @@ api_token = os.environ.get("APIKEY")
|
|
12 |
|
13 |
@spaces.GPU(duration=240)
|
14 |
# Load model directly
|
15 |
-
from transformers import AutoTokenizer, AutoModelForCausalLM
|
16 |
|
17 |
tokenizer = AutoTokenizer.from_pretrained("meta-llama/Meta-Llama-3-8B-Instruct")
|
18 |
model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B-Instruct",token=api_token)
|
|
|
1 |
import gradio as gr
|
2 |
import spaces
|
3 |
import transformers
|
|
|
4 |
from transformers import pipeline
|
5 |
import torch
|
6 |
import os
|
7 |
+
from transformers import AutoTokenizer, AutoModelForCausalLM
|
8 |
+
|
9 |
+
|
10 |
|
11 |
api_token = os.environ.get("APIKEY")
|
12 |
|
|
|
14 |
|
15 |
@spaces.GPU(duration=240)
|
16 |
# Load model directly
|
|
|
17 |
|
18 |
tokenizer = AutoTokenizer.from_pretrained("meta-llama/Meta-Llama-3-8B-Instruct")
|
19 |
model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B-Instruct",token=api_token)
|