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:
- 37de03b733ada7a67c1f57cb0eef2d6f4c73b8736391680b8352fb8818de9484
- Size of remote file:
- 1.72 GB
- SHA256:
- d420f0ba4c08aec2c06fd89f934a34a83fbea2c7bf5cdace211165f24b377dc7
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