Instructions to use voidful/bart_base_squad_ca_q with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use voidful/bart_base_squad_ca_q with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("voidful/bart_base_squad_ca_q") model = AutoModelForSeq2SeqLM.from_pretrained("voidful/bart_base_squad_ca_q", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 39e0ffdbea1cd6d254dafe1df59039c862c405577b5442e72ae2f6b50e3ea0a4
- Size of remote file:
- 712 MB
- SHA256:
- ee8e6b73032a534d648b8cc06f70b1a35f715e7152860b080a53fbb4f8375310
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