Instructions to use castorini/afriteva_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use castorini/afriteva_large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("castorini/afriteva_large") model = AutoModelForSeq2SeqLM.from_pretrained("castorini/afriteva_large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8309230cb9774293e3077bbf40e5503ec611181436b98916ef0afe80b943316a
- Size of remote file:
- 2.98 GB
- SHA256:
- 4aee0d124ad16d361cf257ba20c678c289b0e87a93bee5b65f4b157c85c267bb
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