Instructions to use realitisoft/ai-bot-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use realitisoft/ai-bot-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="realitisoft/ai-bot-test")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("realitisoft/ai-bot-test") model = AutoModelForSpeechSeq2Seq.from_pretrained("realitisoft/ai-bot-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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c7e8396 | 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 27 28 29 30 31 32 33 34 35 36 37 38 39 | """Customize logging
Defines custom logger class for the `logger.verbose(...)` method.
init_logging() must be called before any other modules that call logging.getLogger.
"""
import logging
from typing import Any, cast
# custom log level for `--verbose` output
# between DEBUG and INFO
VERBOSE = 15
class VerboseLogger(logging.Logger):
"""Custom Logger, defining a verbose log-level
VERBOSE is between INFO and DEBUG.
"""
def verbose(self, msg: str, *args: Any, **kwargs: Any) -> None:
return self.log(VERBOSE, msg, *args, **kwargs)
def getLogger(name: str) -> VerboseLogger:
"""logging.getLogger, but ensures our VerboseLogger class is returned"""
return cast(VerboseLogger, logging.getLogger(name))
def init_logging() -> None:
"""Register our VerboseLogger and VERBOSE log level.
Should be called before any calls to getLogger(),
i.e. in pip._internal.__init__
"""
logging.setLoggerClass(VerboseLogger)
logging.addLevelName(VERBOSE, "VERBOSE")
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