Instructions to use Frenz/modelsent_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Frenz/modelsent_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Frenz/modelsent_test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Frenz/modelsent_test") model = AutoModelForSequenceClassification.from_pretrained("Frenz/modelsent_test") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer_sentiment.pkl with huggingface_hub
Browse files- tokenizer_sentiment.pkl +3 -0
tokenizer_sentiment.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:32e8925000f7243272459cce006f3ca5b57793d1b3f75164028e11e4e27ca313
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size 1313093
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