Instructions to use sanjin7/ctr-ll4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sanjin7/ctr-ll4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sanjin7/ctr-ll4", trust_remote_code=True)# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("sanjin7/ctr-ll4", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 388 Bytes
cea4a4b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | import time
from datetime import timedelta
import pandas as pd
from loguru import logger
def print_execution_time(func):
def wrapper_time(*args, **kwargs):
start = time.perf_counter()
a = func(*args, **kwargs)
end = time.perf_counter()
logger.debug(f"{func.__name__}: {str(timedelta(seconds=end - start))}")
return a
return wrapper_time
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