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:
- c2a0642b8c42fe346d87389018f85744246d298413a7c45c5787f3908fee3734
- Size of remote file:
- 1.48 GB
- SHA256:
- 20fe36e60e43a854499e2db76a4d10c31102adb4ac60685a249725023f8c0024
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