Instructions to use g8a9/roberta-tiny-2l-10M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use g8a9/roberta-tiny-2l-10M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="g8a9/roberta-tiny-2l-10M")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("g8a9/roberta-tiny-2l-10M") model = AutoModelForMaskedLM.from_pretrained("g8a9/roberta-tiny-2l-10M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 94.78, | |
| "train_loss": 3.832834072322636, | |
| "train_runtime": 39205.3218, | |
| "train_samples": 24910, | |
| "train_samples_per_second": 63.537, | |
| "train_steps_per_second": 0.122 | |
| } |