Text Classification
Transformers
Safetensors
English
distilbert
sequence-classification
youtube
music-genres
7-class
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use scottymcgee/text with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use scottymcgee/text with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="scottymcgee/text")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("scottymcgee/text") model = AutoModelForSequenceClassification.from_pretrained("scottymcgee/text") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4c28a8cfa76595139c4d30327b14f7507ee5d2124392ef3134af00e39ce7f781
- Size of remote file:
- 5.78 kB
- SHA256:
- ad16a4e570a2c875e3d740777004b3b1882bfb7a27785ebafc03342e1aaf0eea
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