Instructions to use perplexity-correlations/fasttext-lambada-fr-target with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use perplexity-correlations/fasttext-lambada-fr-target with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("perplexity-correlations/fasttext-lambada-fr-target", "model.bin")) - Notebooks
- Google Colab
- Kaggle
metadata
license: mit
library_name: fasttext
pipeline_tag: text-classification
This is the fastText pretraining data filter targeting the LAMBADA FR task, discussed in the main text of the Perplexity Correlations paper: https://arxiv.org/abs/2409.05816. This filter uses perplexity correlations to identify high-quality pretraining data without requiring any LLM training. It is designed to be used with the fastText library.
Github: https://github.com/TristanThrush/perplexity-correlations