Instructions to use PrachiPatel/text_results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PrachiPatel/text_results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PrachiPatel/text_results")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PrachiPatel/text_results") model = AutoModelForSequenceClassification.from_pretrained("PrachiPatel/text_results") - Notebooks
- Google Colab
- Kaggle
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Label_0: Sad; Label_1: Joy; Label_2: disgust; Label_3: Anger; Label_4: Fear; Label_5: neutral;
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