Instructions to use robingeibel/reformer-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use robingeibel/reformer-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="robingeibel/reformer-finetuned")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("robingeibel/reformer-finetuned") model = AutoModelForMaskedLM.from_pretrained("robingeibel/reformer-finetuned") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
tags:
- generated_from_trainer datasets:
- big_patent model-index:
- name: reformer-finetuned results: []
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