Instructions to use AlanRobotics/bert-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlanRobotics/bert-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AlanRobotics/bert-sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AlanRobotics/bert-sentiment") model = AutoModelForSequenceClassification.from_pretrained("AlanRobotics/bert-sentiment") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 82b39bda87429330267154a6a06e0fb922c8d38640aa79bed2edf02d13730c5f
- Size of remote file:
- 711 MB
- SHA256:
- 029aec067d6ea52bb3208d2c942484b771f929efe9a0b6e06c25c502c4019bbe
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