Instructions to use allenai/dolma3-fasttext-quality-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use allenai/dolma3-fasttext-quality-classifier with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("allenai/dolma3-fasttext-quality-classifier", "model.bin")) - Notebooks
- Google Colab
- Kaggle
File size: 365 Bytes
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license: apache-2.0
language:
- en
library_name: fasttext
tags:
- quality-classification
datasets:
- teknium/OpenHermes-2.5
- HuggingFaceH4/ultrachat_200k
- vincentmin/eli5_rlhf
- mlfoundations/dclm-baseline-1.0
- allenai/WildChat-1M
---
# Dolma 3 Quality Classifier
A model trained to classify document as high or low qualily. Part of the Dolma 3 pipeline.
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