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
File size: 465 Bytes
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"train_mem_cpu_alloc_delta": 1008685056,
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"train_runtime": 2733.1751,
"train_samples": 200000,
"train_samples_per_second": 6.86
} |