Instructions to use masakhane/m2m100_418M_ewe_fr_rel_ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use masakhane/m2m100_418M_ewe_fr_rel_ft with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("masakhane/m2m100_418M_ewe_fr_rel_ft") model = AutoModelForMultimodalLM.from_pretrained("masakhane/m2m100_418M_ewe_fr_rel_ft") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 3.0, | |
| "predict_bleu": 11.03, | |
| "predict_gen_len": 39.0339, | |
| "predict_loss": 2.8307998180389404, | |
| "predict_runtime": 533.2135, | |
| "predict_samples": 1563, | |
| "predict_samples_per_second": 2.931, | |
| "predict_steps_per_second": 0.294, | |
| "train_loss": 2.4948391718621714, | |
| "train_runtime": 186.133, | |
| "train_samples": 2026, | |
| "train_samples_per_second": 32.654, | |
| "train_steps_per_second": 3.272 | |
| } |