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
- Xet hash:
- 4559d7460abb6c8ed418e074a62c76564d449980e1af2aeeb2c304280fcdc590
- Size of remote file:
- 2.48 kB
- SHA256:
- 1c661bd4e99ec3e576c861e36134129d1f4746165ae4d7cefa82ed887f86b5db
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