Text Classification
Transformers
Joblib
Safetensors
PyTorch
English
distilbert
youtube
comments
sentiment-analysis
text-embeddings-inference
Instructions to use mr-checker/yt-comments-sentiment-distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mr-checker/yt-comments-sentiment-distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mr-checker/yt-comments-sentiment-distilbert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mr-checker/yt-comments-sentiment-distilbert") model = AutoModelForSequenceClassification.from_pretrained("mr-checker/yt-comments-sentiment-distilbert") - Notebooks
- Google Colab
- Kaggle
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