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
- Xet hash:
- edc283de31d0d71c3c6bbec2d5cc026150708ddb127f4b9ca17eaea7474a1796
- Size of remote file:
- 2.48 kB
- SHA256:
- 536d5c94756a71f61b2d20baed8ab5f03c53ac7c8886325b067a3a92f7b3e5e0
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