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
Improve model card with metadata and description
#1
by nielsr HF Staff - opened
This PR improves the model card by:
- Adding the
pipeline_tag: text-classificationto better reflect the model's purpose. - Specifying the
library_name: fasttextas the model uses fastText for filtering. - Confirming the
license: mit. - Providing a more detailed description of the model and its usage.
- Adding a link to the Github repository.
This will improve discoverability and usability of this valuable data filtering resource.
Tristan changed pull request status to merged