Instructions to use uzaaft/bart_eli5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uzaaft/bart_eli5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("uzaaft/bart_eli5") model = AutoModelForSeq2SeqLM.from_pretrained("uzaaft/bart_eli5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f93fe73667e9c2321fb1e83e8b0bc97e992e83b493896e210d6441c1ccef2049
- Size of remote file:
- 1.22 GB
- SHA256:
- c620e365576d01975e40b4e8a9d59d8275926cb546f385bc8fa14b07c7c4f1db
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