getting mistral model

app.py

@@ -3,11 +3,15 @@ import torch
 from transformers import AutoModelForCausalLM, AutoTokenizer
 from repeng import ControlVector, ControlModel
 import gradio as gr
+from huggingface_hub import login
 
 # Initialize model and tokenizer
-mistral_path = "./models/mistral"  # Update this path as needed
+mistral_path = "mistralai/Mistral-7B-Instruct-v0.3"  # Update this path as needed
 
-tokenizer = AutoTokenizer.from_pretrained("mistralai/Mistral-7B-Instruct-v0.3")
+access_token = os.getenv("mistralaccesstoken")
+login(access_token)
+
+tokenizer = AutoTokenizer.from_pretrained(mistral_path)
 #tokenizer = AutoTokenizer.from_pretrained("E:/language_models/models/mistral")
 tokenizer.pad_token_id = 0