Instructions to use MinervaBotTeam/Bloom_Question_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MinervaBotTeam/Bloom_Question_Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MinervaBotTeam/Bloom_Question_Classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MinervaBotTeam/Bloom_Question_Classification") model = AutoModelForSequenceClassification.from_pretrained("MinervaBotTeam/Bloom_Question_Classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 705b1f36650ad3b6797f7d32d4d4dcab8bec593be4a2d478dcaf142eacd6baa2
- Size of remote file:
- 268 MB
- SHA256:
- 8f38fcdbf7f47a1a5a084e0b68260c0bcfa38a6e573ac1bf6759bc72ca3f4b1c
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