Instructions to use fathan/indojave-codemixed-indobert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fathan/indojave-codemixed-indobert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="fathan/indojave-codemixed-indobert-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("fathan/indojave-codemixed-indobert-base") model = AutoModelForMaskedLM.from_pretrained("fathan/indojave-codemixed-indobert-base") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.6240879264443259, | |
| "eval_loss": 1.9968321323394775, | |
| "eval_runtime": 5913.1596, | |
| "eval_samples": 2812170, | |
| "eval_samples_per_second": 475.578, | |
| "eval_steps_per_second": 1.858, | |
| "perplexity": 7.365685583966684, | |
| "train_loss": 2.243077999982859, | |
| "train_runtime": 411193.7405, | |
| "train_samples": 25309522, | |
| "train_samples_per_second": 184.654, | |
| "train_steps_per_second": 0.721 | |
| } |