Instructions to use castorini/afriteva_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use castorini/afriteva_small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("castorini/afriteva_small") model = AutoModelForSeq2SeqLM.from_pretrained("castorini/afriteva_small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0d18413927a133c5c8d199cbc5ee3c7121e020191f1470f6d4404289d508c5ad
- Size of remote file:
- 258 MB
- SHA256:
- 286880fe7277f4b8b219cc1644aad5e28b75f73d7cfe010fefb5e6133e8a59ab
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