Text Classification
Transformers
Safetensors
English
roberta
sentiment-analysis
youtube-comments
nlp
social-media
youtube
fastapi
huggingface
Eval Results (legacy)
text-embeddings-inference
Instructions to use rishigupta04/yt-comments-sentiment-analyzer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rishigupta04/yt-comments-sentiment-analyzer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rishigupta04/yt-comments-sentiment-analyzer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rishigupta04/yt-comments-sentiment-analyzer") model = AutoModelForSequenceClassification.from_pretrained("rishigupta04/yt-comments-sentiment-analyzer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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