Instructions to use dhmeltzer/bart-small_askscience-qg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dhmeltzer/bart-small_askscience-qg with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("dhmeltzer/bart-small_askscience-qg") model = AutoModelForSeq2SeqLM.from_pretrained("dhmeltzer/bart-small_askscience-qg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fa830bba7507072567a0bb5f58604dc3b68193173e071d844e747eaf5cbf2ca4
- Size of remote file:
- 282 MB
- SHA256:
- 6baef2d98a759c07be5c257bdc6cbfa99a1417d0910697bb39e306c6c388dda5
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