Instructions to use floflodebilbao/LED_sum_challenge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use floflodebilbao/LED_sum_challenge with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("floflodebilbao/LED_sum_challenge") model = AutoModelForSeq2SeqLM.from_pretrained("floflodebilbao/LED_sum_challenge", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
2d418f3 | 1 2 3 4 5 6 7 8 | {
"bos_token_id": 0,
"decoder_start_token_id": 2,
"eos_token_id": 2,
"pad_token_id": 1,
"transformers_version": "4.53.0"
}
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