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
| { | |
| "model": "l3cube-pune/marathi-bert-v2", | |
| "num_labels": 16, | |
| "tags": [ | |
| "ADJ", | |
| "ADP", | |
| "ADV", | |
| "AUX", | |
| "CCONJ", | |
| "DET", | |
| "INTJ", | |
| "NOUN", | |
| "NUM", | |
| "PART", | |
| "POSTP", | |
| "PRON", | |
| "PROPN", | |
| "PUNCT", | |
| "SCONJ", | |
| "VERB" | |
| ], | |
| "removed_tag": "X", | |
| "low_support_tag": "POSTP", | |
| "label2id": { | |
| "ADJ": 0, | |
| "ADP": 1, | |
| "ADV": 2, | |
| "AUX": 3, | |
| "CCONJ": 4, | |
| "DET": 5, | |
| "INTJ": 6, | |
| "NOUN": 7, | |
| "NUM": 8, | |
| "PART": 9, | |
| "POSTP": 10, | |
| "PRON": 11, | |
| "PROPN": 12, | |
| "PUNCT": 13, | |
| "SCONJ": 14, | |
| "VERB": 15 | |
| }, | |
| "id2label": { | |
| "0": "ADJ", | |
| "1": "ADP", | |
| "2": "ADV", | |
| "3": "AUX", | |
| "4": "CCONJ", | |
| "5": "DET", | |
| "6": "INTJ", | |
| "7": "NOUN", | |
| "8": "NUM", | |
| "9": "PART", | |
| "10": "POSTP", | |
| "11": "PRON", | |
| "12": "PROPN", | |
| "13": "PUNCT", | |
| "14": "SCONJ", | |
| "15": "VERB" | |
| }, | |
| "f1_macro_16_tags": 0.7657, | |
| "f1_macro_15_tags": 0.8167 | |
| } |