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: 363 Bytes
cea4a4b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | import ast
import pandas as pd
def read_csv_and_eval(path: str, *args, **kwargs) -> pd.DataFrame:
df = pd.read_csv(path, *args, **kwargs)
df = df.applymap(eval_but_leave_string_if_you_cant)
return df
def eval_but_leave_string_if_you_cant(text: str):
try:
out = ast.literal_eval(text)
except:
out = text
return out
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