Fill-Mask
Transformers
Safetensors
PyTorch
Baluchi
xlm-roberta
balochi
low-resource
masked-language-modeling
domain-adaptive-pretraining
Eval Results (legacy)
Instructions to use shah-bakhsh/BalBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shah-bakhsh/BalBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="shah-bakhsh/BalBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("shah-bakhsh/BalBERT") model = AutoModelForMaskedLM.from_pretrained("shah-bakhsh/BalBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K