Instructions to use masakhane/afribyt5_en_zul_news with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use masakhane/afribyt5_en_zul_news with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("masakhane/afribyt5_en_zul_news") model = AutoModelForMultimodalLM.from_pretrained("masakhane/afribyt5_en_zul_news") - Notebooks
- Google Colab
- Kaggle
| { | |
| "predict_bleu": 13.4047, | |
| "predict_gen_len": 127.8447, | |
| "predict_loss": 0.6513121724128723, | |
| "predict_runtime": 584.0738, | |
| "predict_samples": 998, | |
| "predict_samples_per_second": 1.709, | |
| "predict_steps_per_second": 0.171 | |
| } |