Instructions to use chrishuber/roberta-kaggledev-testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chrishuber/roberta-kaggledev-testing with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="chrishuber/roberta-kaggledev-testing")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("chrishuber/roberta-kaggledev-testing") model = AutoModelForMaskedLM.from_pretrained("chrishuber/roberta-kaggledev-testing") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 21ee295
Upload pytorch_model.bin with git-lfs
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