File size: 992 Bytes
8c26326 cca2aed 3dfb844 cca2aed 339211f 8c26326 3dfb844 cca2aed | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | import torch
from typing import Dict, List, Any
from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
class EndpointHandler():
def __init__(self, path=""):
model = AutoModelForCausalLM.from_pretrained("hyperspaceai/hyperEngine_phi3_128k", device_map="auto", torch_dtype="auto", trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained("microsoft/Phi-3-mini-128k-instruct")
self.pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)
def __call__(self, data:Dict[str, Any]) :
messages = data.pop("messages", None)
generation_args = data.pop("generation_args", None)
if generation_args==None :
generation_args = {
"max_new_tokens": 500,
"return_full_text": False,
"temperature": 0.0,
"do_sample": False,
}
output = self.pipe(messages, **generation_args)
return output[0]['generated_text']
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