Instructions to use moussaKam/frugalscore_tiny_roberta_bert-score with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use moussaKam/frugalscore_tiny_roberta_bert-score with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="moussaKam/frugalscore_tiny_roberta_bert-score")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("moussaKam/frugalscore_tiny_roberta_bert-score") model = AutoModelForSequenceClassification.from_pretrained("moussaKam/frugalscore_tiny_roberta_bert-score") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 3.0, | |
| "init_mem_cpu_alloc_delta": 2161176576, | |
| "init_mem_cpu_peaked_delta": 15167488, | |
| "init_mem_gpu_alloc_delta": 17548800, | |
| "init_mem_gpu_peaked_delta": 0, | |
| "train_mem_cpu_alloc_delta": 891899904, | |
| "train_mem_cpu_peaked_delta": 0, | |
| "train_mem_gpu_alloc_delta": 53029376, | |
| "train_mem_gpu_peaked_delta": 669877760, | |
| "train_runtime": 924.1647, | |
| "train_samples": 200000, | |
| "train_samples_per_second": 20.289 | |
| } |