Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use isaacaderogba/tonality with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use isaacaderogba/tonality with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="isaacaderogba/tonality")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("isaacaderogba/tonality") model = AutoModelForSequenceClassification.from_pretrained("isaacaderogba/tonality", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 639e2a7cdbf5d2a881d630427cd93480af6454444180f5aac8c15667f96b99d5
- Size of remote file:
- 3.31 kB
- SHA256:
- 3c3b18d16ca7081b7dd71872da4b4eea7c94384b96c5bc740694466bc9e56132
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