Instructions to use airKlizz/mt5-base-germeval21-toxic-with-task-specific-pretraining-and-data-augmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use airKlizz/mt5-base-germeval21-toxic-with-task-specific-pretraining-and-data-augmentation with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("airKlizz/mt5-base-germeval21-toxic-with-task-specific-pretraining-and-data-augmentation") model = AutoModelForSeq2SeqLM.from_pretrained("airKlizz/mt5-base-germeval21-toxic-with-task-specific-pretraining-and-data-augmentation") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 35bcb3710f350142f5b8f7770fc11e976ac1fac91cb23d38a59b127abf9b14cb
- Size of remote file:
- 2.33 GB
- SHA256:
- fffa0ba427589cdabdcc4e9389e99ebc57b11de9b3c6e3c0efb668aade2af450
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