Spaces:
Build error
Build error
Update app.py
Browse files
app.py
CHANGED
|
@@ -1,19 +1,14 @@
|
|
| 1 |
-
import os
|
| 2 |
import gradio as gr
|
| 3 |
-
from transformers import
|
|
|
|
| 4 |
import torch
|
| 5 |
|
| 6 |
-
|
|
|
|
| 7 |
|
| 8 |
-
|
| 9 |
-
|
| 10 |
-
|
| 11 |
-
model = AutoModelForCausalLM.from_pretrained(
|
| 12 |
-
model_name,
|
| 13 |
-
device_map="auto",
|
| 14 |
-
torch_dtype=torch.float16,
|
| 15 |
-
use_auth_token=hf_token
|
| 16 |
-
)
|
| 17 |
|
| 18 |
def chat(prompt):
|
| 19 |
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
|
|
|
|
|
|
|
| 1 |
import gradio as gr
|
| 2 |
+
from transformers import AutoTokenizer, AutoModelForCausalLM
|
| 3 |
+
from peft import PeftModel
|
| 4 |
import torch
|
| 5 |
|
| 6 |
+
base_model_name = "unsloth/mistral-7b-instruct-v0.3-bnb-4bit"
|
| 7 |
+
adapter_model = "jimy26/Chatbot"
|
| 8 |
|
| 9 |
+
tokenizer = AutoTokenizer.from_pretrained(base_model_name)
|
| 10 |
+
base_model = AutoModelForCausalLM.from_pretrained(base_model_name, device_map="auto", torch_dtype=torch.float16)
|
| 11 |
+
model = PeftModel.from_pretrained(base_model, adapter_model)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 12 |
|
| 13 |
def chat(prompt):
|
| 14 |
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
|