Instructions to use razhan/roberta-base-ckb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use razhan/roberta-base-ckb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="razhan/roberta-base-ckb")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("razhan/roberta-base-ckb") model = AutoModelForMaskedLM.from_pretrained("razhan/roberta-base-ckb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.5624583716843778, | |
| "eval_loss": 3.161099910736084, | |
| "eval_runtime": 142.5547, | |
| "eval_samples": 7792, | |
| "eval_samples_per_second": 54.66, | |
| "eval_steps_per_second": 3.416, | |
| "perplexity": 23.596535743711538, | |
| "train_loss": 3.9046004770976137, | |
| "train_runtime": 22926.8282, | |
| "train_samples": 152351, | |
| "train_samples_per_second": 19.935, | |
| "train_steps_per_second": 0.997 | |
| } |