Instructions to use nikraf/directionality_probe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nikraf/directionality_probe with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="nikraf/directionality_probe", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nikraf/directionality_probe", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 341 Bytes
714cf46 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | from .supported_datasets import (
supported_datasets,
internal_datasets,
possible_with_vector_reps,
standard_data_benchmark,
testing,
)
try:
from .dataset_descriptions import dataset_descriptions
except ImportError:
dataset_descriptions = {}
from .dataset_utils import list_supported_datasets, get_dataset_info |