Instructions to use celinelee/bartlarge_risctoarm_cloze2048 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use celinelee/bartlarge_risctoarm_cloze2048 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("celinelee/bartlarge_risctoarm_cloze2048") model = AutoModelForSeq2SeqLM.from_pretrained("celinelee/bartlarge_risctoarm_cloze2048") - Notebooks
- Google Colab
- Kaggle
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
{
model: facebook/bart-large,
max_position_embeddings: 2048,
learning_rate: 3e-4,
no_repeat_ngram_size: 0
num_steps: 520000
}
dataset: RISC -> ARM cloze training data
Inference:
beam size 20, top-100, gets 34 / 45 of the Project Euler test set.
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