Instructions to use masakhane/afribyt5_zul_en_news with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use masakhane/afribyt5_zul_en_news with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("masakhane/afribyt5_zul_en_news") model = AutoModelForMultimodalLM.from_pretrained("masakhane/afribyt5_zul_en_news") - Notebooks
- Google Colab
- Kaggle
File size: 434 Bytes
af94d50 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"epoch": 10.0,
"predict_bleu": 26.4588,
"predict_gen_len": 116.2856,
"predict_loss": 0.5511969923973083,
"predict_runtime": 556.5187,
"predict_samples": 998,
"predict_samples_per_second": 1.793,
"predict_steps_per_second": 0.18,
"train_loss": 0.6696674455915178,
"train_runtime": 2740.83,
"train_samples": 3500,
"train_samples_per_second": 12.77,
"train_steps_per_second": 1.277
} |