Instructions to use moussaKam/frugalscore_small_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_small_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_small_bert-base_mover-score")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("moussaKam/frugalscore_small_bert-base_mover-score") model = AutoModelForSequenceClassification.from_pretrained("moussaKam/frugalscore_small_bert-base_mover-score", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 3.0, | |
| "init_mem_cpu_alloc_delta": 2085175296, | |
| "init_mem_cpu_peaked_delta": 87703552, | |
| "init_mem_gpu_alloc_delta": 115466752, | |
| "init_mem_gpu_peaked_delta": 0, | |
| "train_mem_cpu_alloc_delta": 1008685056, | |
| "train_mem_cpu_peaked_delta": 124854272, | |
| "train_mem_gpu_alloc_delta": 346377728, | |
| "train_mem_gpu_peaked_delta": 5012993536, | |
| "train_runtime": 2733.1751, | |
| "train_samples": 200000, | |
| "train_samples_per_second": 6.86 | |
| } |