Instructions to use g8a9/roberta-tiny-10M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use g8a9/roberta-tiny-10M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="g8a9/roberta-tiny-10M")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("g8a9/roberta-tiny-10M") model = AutoModelForMaskedLM.from_pretrained("g8a9/roberta-tiny-10M") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 89.58, | |
| "train_loss": 3.7431876293448516, | |
| "train_runtime": 42244.2763, | |
| "train_samples": 24910, | |
| "train_samples_per_second": 58.967, | |
| "train_steps_per_second": 0.114 | |
| } |