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, | |
| "eval_accuracy": 0.5148013040185571, | |
| "eval_loss": 2.73911714553833, | |
| "eval_runtime": 145.896, | |
| "eval_samples": 24055, | |
| "eval_samples_per_second": 164.878, | |
| "eval_steps_per_second": 5.154, | |
| "perplexity": 15.47331837619993 | |
| } |