Instructions to use castorini/afriteva_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use castorini/afriteva_base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("castorini/afriteva_base") model = AutoModelForSeq2SeqLM.from_pretrained("castorini/afriteva_base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a3e0f2f65ce8f85de253dba21cf4ba14643f17fc09cb1a59ab939c14e86ecad2
- Size of remote file:
- 916 MB
- SHA256:
- aeab3b4ca5869d8561662e1807f9d0fecc3e901921fd3bc6a04a19286b6fe827
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