Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use AwwadR/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AwwadR/model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AwwadR/model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AwwadR/model") model = AutoModelForSequenceClassification.from_pretrained("AwwadR/model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3bbdf8807797184e131886559adceb3e6eb682344c48bd4a0e0d3598311e5b65
- Size of remote file:
- 5.71 kB
- SHA256:
- be5950981347cff73e8a9292f3e612ed8dbdf9975cd375f90c6a39668825615e
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