Instructions to use masakhane/afrimt5_pcm_en_news with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use masakhane/afrimt5_pcm_en_news with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("masakhane/afrimt5_pcm_en_news") model = AutoModelForSeq2SeqLM.from_pretrained("masakhane/afrimt5_pcm_en_news", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 243 Bytes
073b758 | 1 2 3 4 5 6 7 8 9 | {
"predict_bleu": 44.6477,
"predict_gen_len": 34.2577,
"predict_loss": 1.309485912322998,
"predict_runtime": 616.876,
"predict_samples": 1564,
"predict_samples_per_second": 2.535,
"predict_steps_per_second": 0.255
} |