Instructions to use castorini/afriteva_v2_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use castorini/afriteva_v2_large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("castorini/afriteva_v2_large") model = AutoModelForSeq2SeqLM.from_pretrained("castorini/afriteva_v2_large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
4d7f2a1 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:8ea8d7a220ed8a3c6ee7ad38ceaa8d292ae0057782d652d200bb1e6e5504c185
size 4099411483
|