Instructions to use moussaKam/frugalscore_small_bert-base_bert-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_bert-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_bert-score")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("moussaKam/frugalscore_small_bert-base_bert-score") model = AutoModelForSequenceClassification.from_pretrained("moussaKam/frugalscore_small_bert-base_bert-score", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 84b3e879cac9f1b60cc99ada8e5074e7ab5f822f1de80a3165cbdd78bb466cd0
- Size of remote file:
- 2.54 kB
- SHA256:
- 444f8f8347c8d3f71c8be2898347da26cbd2838afbafd9ac361a0180d4ca61cc
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