Instructions to use gabriele-picco/bert_base_ft_bloom-350m_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gabriele-picco/bert_base_ft_bloom-350m_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gabriele-picco/bert_base_ft_bloom-350m_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gabriele-picco/bert_base_ft_bloom-350m_classifier") model = AutoModelForSequenceClassification.from_pretrained("gabriele-picco/bert_base_ft_bloom-350m_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fc50217336f4b91777ee6745a6fd2d67f4ec9d05af2732928cf4f78680d9a417
- Size of remote file:
- 711 MB
- SHA256:
- 703d11d9c6f0383fea074130e7976d4d32fbd7ce43a15f5a2e95ea09aca7499e
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