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")# 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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- abb686dd5cd4275a0e0c33e8aae1b2c9935f2d9afabd90da9c351b4449f38d59
- Size of remote file:
- 5.2 kB
- SHA256:
- e692f76495d484e0ca3559f2e22ef20470d07294aaf82c5f43f53eb2e899dac2
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