Instructions to use Iulian277/ro-bart-large-512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Iulian277/ro-bart-large-512 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("summarization", model="Iulian277/ro-bart-large-512")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Iulian277/ro-bart-large-512") model = AutoModelForSeq2SeqLM.from_pretrained("Iulian277/ro-bart-large-512") - Notebooks
- Google Colab
- Kaggle
This is a pretrained-from-scratch BART large model (400M parameters).
Training was performed on a clean 50GB Romanian text corpus for 3M steps with these scripts. The model was trained with a maximum sequence length of 512.
!! IMPORTANT !! This model was pretrained on the text corruption task, meaning this model is not usable in any downstream task without finetuning first!
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