Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Yousefmd/feedback-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yousefmd/feedback-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Yousefmd/feedback-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Yousefmd/feedback-classification") model = AutoModelForSequenceClassification.from_pretrained("Yousefmd/feedback-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c7822c60e56ab1a898607829c7bb9d6fff630c141a65430e36400ac99ea537d2
- Size of remote file:
- 4.09 kB
- SHA256:
- 212e55fdade4897cede5fe87fcd27e5d2ffb35ffcade43c233a5fa8caaff6e7c
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