Instructions to use masakhane/afrimt5_en_pcm_news with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use masakhane/afrimt5_en_pcm_news with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("masakhane/afrimt5_en_pcm_news") model = AutoModelForMultimodalLM.from_pretrained("masakhane/afrimt5_en_pcm_news") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 10.0, | |
| "predict_bleu": 34.4524, | |
| "predict_gen_len": 35.2896, | |
| "predict_loss": 1.7350702285766602, | |
| "predict_runtime": 637.0015, | |
| "predict_samples": 1564, | |
| "predict_samples_per_second": 2.455, | |
| "predict_steps_per_second": 0.246, | |
| "train_loss": 1.5336624049941283, | |
| "train_runtime": 1304.3977, | |
| "train_samples": 4790, | |
| "train_samples_per_second": 36.722, | |
| "train_steps_per_second": 3.672 | |
| } |