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, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("masakhane/afrimt5_en_pcm_news") model = AutoModelForSeq2SeqLM.from_pretrained("masakhane/afrimt5_en_pcm_news", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 245 Bytes
f06ddb3 | 1 2 3 4 5 6 7 8 9 | {
"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
} |