Instructions to use moussaKam/frugalscore_medium_bert-base_mover-score with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use moussaKam/frugalscore_medium_bert-base_mover-score with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="moussaKam/frugalscore_medium_bert-base_mover-score")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("moussaKam/frugalscore_medium_bert-base_mover-score") model = AutoModelForSequenceClassification.from_pretrained("moussaKam/frugalscore_medium_bert-base_mover-score", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 3.0, | |
| "init_mem_cpu_alloc_delta": 2042978304, | |
| "init_mem_cpu_peaked_delta": 121016320, | |
| "init_mem_gpu_alloc_delta": 165904896, | |
| "init_mem_gpu_peaked_delta": 0, | |
| "train_mem_cpu_alloc_delta": 1035243520, | |
| "train_mem_cpu_peaked_delta": 125026304, | |
| "train_mem_gpu_alloc_delta": 497286656, | |
| "train_mem_gpu_peaked_delta": 9670125056, | |
| "train_runtime": 4763.7655, | |
| "train_samples": 200000, | |
| "train_samples_per_second": 3.936 | |
| } |