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: 295 Bytes
cea4a4b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | from typing import Any
import numpy as np
def element_to_list(a: Any) -> list:
if type(a) is not list:
return [a]
return a
def vectorise_dict(dt: dict, as_list=False) -> tuple | list:
keys, values = zip(*sorted(dt.items()))
return list(values) if as_list else values
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