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: 262 Bytes
714cf46 | 1 2 3 4 5 6 7 8 9 10 11 12 | from .get_base_models import (
get_base_model,
get_base_model_for_training,
get_tokenizer,
experimental_models,
BaseModelArguments
)
try:
from .model_descriptions import model_descriptions
except ImportError:
model_descriptions = {} |