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
| { | |
| "ADJ": 0, | |
| "ADP": 1, | |
| "ADV": 2, | |
| "AUX": 3, | |
| "CCONJ": 4, | |
| "DET": 5, | |
| "INTJ": 6, | |
| "NOUN": 7, | |
| "NUM": 8, | |
| "PART": 9, | |
| "PRON": 10, | |
| "PROPN": 11, | |
| "PUNCT": 12, | |
| "SCONJ": 13, | |
| "VERB": 14, | |
| "X": 15 | |
| } |