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
Update README.md
Browse files
README.md
CHANGED
|
@@ -5,8 +5,15 @@ language:
|
|
| 5 |
library_name: fasttext
|
| 6 |
tags:
|
| 7 |
- quality-classification
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 8 |
---
|
| 9 |
|
| 10 |
# Dolma 3 Quality Classifier
|
| 11 |
|
| 12 |
-
A model trained to classify document as high or low qualily. Part of the Dolma 3 pipeline.
|
|
|
|
|
|
| 5 |
library_name: fasttext
|
| 6 |
tags:
|
| 7 |
- quality-classification
|
| 8 |
+
datasets:
|
| 9 |
+
- teknium/OpenHermes-2.5
|
| 10 |
+
- HuggingFaceH4/ultrachat_200k
|
| 11 |
+
- vincentmin/eli5_rlhf
|
| 12 |
+
- mlfoundations/dclm-baseline-1.0
|
| 13 |
+
- allenai/WildChat-1M
|
| 14 |
---
|
| 15 |
|
| 16 |
# Dolma 3 Quality Classifier
|
| 17 |
|
| 18 |
+
A model trained to classify document as high or low qualily. Part of the Dolma 3 pipeline.
|
| 19 |
+
|