Instructions to use Kashif786/sindhi_bert_base_pct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kashif786/sindhi_bert_base_pct with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Kashif786/sindhi_bert_base_pct")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Kashif786/sindhi_bert_base_pct") model = AutoModelForMaskedLM.from_pretrained("Kashif786/sindhi_bert_base_pct") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db15fdf71c8b30b56267f3ca1694372bec49055d666772d2e376c867b0fefa1b
- Size of remote file:
- 5.14 kB
- SHA256:
- c270a7a2c36627f0812e870d3ea6ef3ae10ad48114913c86006b1f13d79f308d
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