Instructions to use Seethal/sentimentanalysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Seethal/sentimentanalysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Seethal/sentimentanalysis")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Seethal/sentimentanalysis") model = AutoModelForSequenceClassification.from_pretrained("Seethal/sentimentanalysis") - Notebooks
- Google Colab
- Kaggle
Delete Distilbert_base_uncased_fine_tuned_service_bc.ipynb
Browse files
Distilbert_base_uncased_fine_tuned_service_bc.ipynb
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