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
| { | |
| "epoch": 10.0, | |
| "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, | |
| "train_loss": 1.1898054724197547, | |
| "train_runtime": 1299.4433, | |
| "train_samples": 4790, | |
| "train_samples_per_second": 36.862, | |
| "train_steps_per_second": 3.686 | |
| } |