Instructions to use Shenzy/Sentence_Classification4DesignTutor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shenzy/Sentence_Classification4DesignTutor with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Shenzy/Sentence_Classification4DesignTutor")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Shenzy/Sentence_Classification4DesignTutor") model = AutoModelForSequenceClassification.from_pretrained("Shenzy/Sentence_Classification4DesignTutor", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (27b814f6f47c2f6aaf3a2d50401ecb04ed4e9bd3) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>dd2f4a2
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Commit From AutoTrain
d753f86 -
initial commit
f66b086