Instructions to use mateiaassAI/T5BaseRoNECC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mateiaassAI/T5BaseRoNECC with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mateiaassAI/T5BaseRoNECC") model = AutoModelForSeq2SeqLM.from_pretrained("mateiaassAI/T5BaseRoNECC", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db7a30b362f99a1816101213315183c9679e765abaafa3d2ae23f6e208a6d4cc
- Size of remote file:
- 5.05 kB
- SHA256:
- 64cd6cdc42e9952193670c60165a54da61ea8891469e2f736b9e47c25ffa4700
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