Token Classification
Transformers
Safetensors
PyTorch
Baluchi
xlm-roberta
part-of-speech
pos-tagging
balochi
low-resource
universal-dependencies
shahbakhsh
Eval Results (legacy)
Instructions to use shahbakhsh/BalPOS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shahbakhsh/BalPOS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="shahbakhsh/BalPOS")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("shahbakhsh/BalPOS") model = AutoModelForTokenClassification.from_pretrained("shahbakhsh/BalPOS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "0": "ADJ", | |
| "1": "ADP", | |
| "2": "ADV", | |
| "3": "AUX", | |
| "4": "CCONJ", | |
| "5": "DET", | |
| "6": "INTJ", | |
| "7": "NOUN", | |
| "8": "NUM", | |
| "9": "PART", | |
| "10": "PRON", | |
| "11": "PROPN", | |
| "12": "PUNCT", | |
| "13": "SCONJ", | |
| "14": "VERB", | |
| "15": "X" | |
| } |