Instructions to use masakhane/m2m100_418M_en_zul_news with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use masakhane/m2m100_418M_en_zul_news with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("masakhane/m2m100_418M_en_zul_news") model = AutoModelForMultimodalLM.from_pretrained("masakhane/m2m100_418M_en_zul_news") - Notebooks
- Google Colab
- Kaggle
File size: 434 Bytes
eda4b2b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"epoch": 10.0,
"predict_bleu": 16.6351,
"predict_gen_len": 50.006,
"predict_loss": 2.330315113067627,
"predict_runtime": 476.5803,
"predict_samples": 998,
"predict_samples_per_second": 2.094,
"predict_steps_per_second": 0.21,
"train_loss": 1.5844166957310268,
"train_runtime": 1255.9196,
"train_samples": 3500,
"train_samples_per_second": 27.868,
"train_steps_per_second": 2.787
} |