Text Classification
Scikit-learn
Joblib
Russian
Tuvinian
custom
language-classification
russian
tuvan
Instructions to use tuva/turu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use tuva/turu with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("tuva/turu", "sklearn_model.joblib") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Notebooks
- Google Colab
- Kaggle
Monocorpus of the russian language from 280826 sentences
Browse files- .gitattributes +1 -0
- mono_ru.csv +3 -0
.gitattributes
CHANGED
|
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 33 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 35 |
mono_tu.csv filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 33 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 35 |
mono_tu.csv filter=lfs diff=lfs merge=lfs -text
|
| 36 |
+
mono_ru.csv filter=lfs diff=lfs merge=lfs -text
|
mono_ru.csv
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b7245c4335b62a3fb2875a7026dca3ea0ecb4c2f3856e848cf69fcf5f3b7c892
|
| 3 |
+
size 60714580
|