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:
- 7f9727a7b1512494b14b84710e785ac9918abb8ad2db4c8313436e8972c13f27
- Size of remote file:
- 115 MB
- SHA256:
- bfbf0a34a7870a5fd4601a0235e6d00cdcd317afb7574d02daff2e182871eba0
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