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
| 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 | |