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:
- 9c10ba11b5ebfb770104e1764bc5a628fd856dae7665be5ec55b1abbeec14d19
- Size of remote file:
- 1.19 GB
- SHA256:
- 47710bdf71eaa424c5d49680faf34823e4688dad83b0f7989290d676eb6628ac
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