Token Classification
Transformers
Safetensors
Marathi
bert
MahaPOS
marathi
pos
pos-tagging
part-of-speech-tagging
named-entity-recognition
nlp
marathi-nlp
indicnlp
indian-languages
sequence-labeling
linguistic-analysis
Instructions to use l3cube-pune/marathi-pos-tagger with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use l3cube-pune/marathi-pos-tagger with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="l3cube-pune/marathi-pos-tagger")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("l3cube-pune/marathi-pos-tagger") model = AutoModelForTokenClassification.from_pretrained("l3cube-pune/marathi-pos-tagger", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signature99355d9
-
Update README.md
Verified signature1baaafe -
Update README.md
Verified signature8860f67 -
Update README.md
Verified signature0ff5600 -
Upload 2 files
Verified signaturee805683 -
Update README.md
Verified signature9d55472
-
Upload 6 files
Verified signatured6c60da -
initial commit
Verified signature9f35b07