(self, pretrained_model_name_or_path, app_id, api_secret, api_key, max_tokens=8192, temperature=0, top_k=1)
| 10 | class Spark3Evaluator(Evaluator): |
| 11 | |
| 12 | def __init__(self, pretrained_model_name_or_path, app_id, api_secret, api_key, max_tokens=8192, temperature=0, top_k=1): |
| 13 | super(Spark3Evaluator, self).__init__() |
| 14 | |
| 15 | os.environ['SPARK_APP_ID'] = app_id |
| 16 | os.environ['SPARK_API_SECRET'] = api_secret |
| 17 | os.environ['SPARK_API_KEY'] = api_key |
| 18 | os.environ['SPARK_API_MODEL'] = pretrained_model_name_or_path |
| 19 | os.environ['SPARK_CHAT_MAX_TOKENS'] = str(max_tokens) |
| 20 | os.environ['SPARK_CHAT_TEMPERATURE'] = str(temperature) |
| 21 | os.environ['SPARK_CHAT_TOP_K'] = str(top_k) |
| 22 | |
| 23 | def format_prompt(self, prompt): |
| 24 | return prompt |
nothing calls this directly
no outgoing calls
no test coverage detected