Instructions to use masakhane/afrimbart_en_zul_news with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use masakhane/afrimbart_en_zul_news with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("masakhane/afrimbart_en_zul_news") model = AutoModelForSeq2SeqLM.from_pretrained("masakhane/afrimbart_en_zul_news") - Notebooks
- Google Colab
- Kaggle
File size: 243 Bytes
0b4389b | 1 2 3 4 5 6 7 8 9 | {
"predict_bleu": 16.5499,
"predict_gen_len": 52.8126,
"predict_loss": 3.067568302154541,
"predict_runtime": 656.2829,
"predict_samples": 998,
"predict_samples_per_second": 1.521,
"predict_steps_per_second": 0.152
} |