Instructions to use puzzz21/sci-sentiment-classify with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use puzzz21/sci-sentiment-classify with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="puzzz21/sci-sentiment-classify")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("puzzz21/sci-sentiment-classify") model = AutoModelForSequenceClassification.from_pretrained("puzzz21/sci-sentiment-classify", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (64ec1c51690a8001ed7f97e24837eaf4658d6bc9) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>8f10af2
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classify polarity
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