Instructions to use LazarusNLP/NusaBERT-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LazarusNLP/NusaBERT-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="LazarusNLP/NusaBERT-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("LazarusNLP/NusaBERT-base") model = AutoModelForMaskedLM.from_pretrained("LazarusNLP/NusaBERT-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 202 Bytes
5a3a538 | 1 2 3 4 5 6 7 8 | {
"epoch": 1.35,
"train_loss": 1.8320032868652343,
"train_runtime": 99252.1755,
"train_samples": 94568284,
"train_samples_per_second": 1289.644,
"train_steps_per_second": 5.038
} |