Instructions to use SeppeV/bert_340M_ft_pref_10pc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SeppeV/bert_340M_ft_pref_10pc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SeppeV/bert_340M_ft_pref_10pc")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SeppeV/bert_340M_ft_pref_10pc") model = AutoModelForSequenceClassification.from_pretrained("SeppeV/bert_340M_ft_pref_10pc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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