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
Upload model.safetensors with huggingface_hub
Browse files- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 267832560
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