Instructions to use AiresPucrs/bert-base-wikitext with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AiresPucrs/bert-base-wikitext with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="AiresPucrs/bert-base-wikitext")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AiresPucrs/bert-base-wikitext") model = AutoModelForMaskedLM.from_pretrained("AiresPucrs/bert-base-wikitext") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 3.0, | |
| "train_loss": 1.5861018672255278, | |
| "train_runtime": 49915.9647, | |
| "train_samples": 228639, | |
| "train_samples_per_second": 13.741, | |
| "train_steps_per_second": 1.374 | |
| } |