Instructions to use castorini/afriteva_v2_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use castorini/afriteva_v2_base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("castorini/afriteva_v2_base") model = AutoModelForSeq2SeqLM.from_pretrained("castorini/afriteva_v2_base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7fe00b48802c4b794eafd1c45658821b87568063c9b158d5fb2a80277e51f3a2
- Size of remote file:
- 1.72 GB
- SHA256:
- 6af1e2d765126016b901e324c77b2b4ef6f1d6f0e7b33863b48108f35142fab1
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