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:
- 936c3cee9775e03c30c03f7ef6842f4dca9dc04b059603209f6982c40b857115
- Size of remote file:
- 282 MB
- SHA256:
- 2983197953cf61e0432383cc8c566ca693094f9fa342d7e9b7d10e0517592bdf
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