new model old format chat_template

sketch.js

@@ -1,6 +1,6 @@
 
 // IMPORT LIBRARIES TOOLS
-import { pipeline, env } from 'https://cdn.jsdelivr.net/npm/@xenova/[email protected]';
+import { pipeline, env, AutoTokenizer } from 'https://cdn.jsdelivr.net/npm/@xenova/[email protected]';
 // AutoTokenizer
 
 // skip local model check
@@ -16,19 +16,19 @@ let PREPROMPT = `You're a friendly pirate. Please complete the phrase and fill i
 async function textGenTask(input){
   console.log('text-gen task initiated')
 
-  let MODEL = 'Xenova/TinyLlama-1.1B-Chat-v1.0'
-  // const = modelsList = ['Xenova/stablelm-2-zephyr-1_6b', 'Xenova/LaMini-Cerebras-256M', 'Xenova/TinyLlama-1.1B-Chat-v1.0']
+  let MODEL = 'Xenova/bloomz-560m'
+  // const = modelsList = ['Xenova/LaMini-Cerebras-256M', 'Xenova/TinyLlama-1.1B-Chat-v1.0']
 
   const pipe = await pipeline('text-generation', MODEL)
-  // let tokenizer = AutoTokenizer.from_pretrained(MODEL)
+  let tokenizer = AutoTokenizer.from_pretrained(MODEL)
 
   const messages = [
       {"role": "system", "content": PREPROMPT},
       {"role": "user", "content": input}
     ]
 
-  // const prompt = tokenizer.apply_chat_template(messages, { tokenize: false });
-  const prompt = pipe.tokenizer.apply_chat_template(messages, { tokenize: false });
+  const prompt = tokenizer.apply_chat_template(messages, { tokenize: false });
+  // const prompt = pipe.tokenizer.apply_chat_template(messages, { tokenize: false });
 
   // run text through model, setting hyperparameters
   var out = await pipe(prompt, {