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
File size: 197 Bytes
c181d3a | 1 2 3 4 5 6 7 8 | {
"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
} |