Instructions to use Arthuerwang/roberta-base-tutorial with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Arthuerwang/roberta-base-tutorial with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Arthuerwang/roberta-base-tutorial")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Arthuerwang/roberta-base-tutorial") model = AutoModelForMaskedLM.from_pretrained("Arthuerwang/roberta-base-tutorial", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Training in progress epoch 2
7fc6de3 -
Training in progress epoch 1
aec6575 -
Training in progress epoch 0
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initial commit
70d140f