Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
|
@@ -1,10 +1,23 @@
|
|
| 1 |
import gradio as gr
|
| 2 |
from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
|
| 3 |
|
| 4 |
-
|
|
|
|
|
|
|
| 5 |
|
| 6 |
-
|
| 7 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 8 |
|
| 9 |
pipe = pipeline(
|
| 10 |
"text-generation",
|
|
|
|
| 1 |
import gradio as gr
|
| 2 |
from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
|
| 3 |
|
| 4 |
+
import torch
|
| 5 |
+
from transformers import AutoTokenizer, pipeline
|
| 6 |
+
from peft import AutoPeftModelForCausalLM # comes from `peft`
|
| 7 |
|
| 8 |
+
|
| 9 |
+
|
| 10 |
+
BASE_MODEL = "cjvt/GaMS-1B-Chat"
|
| 11 |
+
ADAPTER_ID = "janajankovic/autotrain-juhh6-uwiv9"
|
| 12 |
+
|
| 13 |
+
# Tokenizer from the base model
|
| 14 |
+
tokenizer = AutoTokenizer.from_pretrained(BASE_MODEL)
|
| 15 |
+
|
| 16 |
+
# Load base+adapter via AutoPeftModel
|
| 17 |
+
model = AutoPeftModelForCausalLM.from_pretrained(
|
| 18 |
+
ADAPTER_ID,
|
| 19 |
+
torch_dtype=torch.float32, # CPU in this Space
|
| 20 |
+
)
|
| 21 |
|
| 22 |
pipe = pipeline(
|
| 23 |
"text-generation",
|