Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Thebisso09/final_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Thebisso09/final_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Thebisso09/final_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Thebisso09/final_model") model = AutoModelForSequenceClassification.from_pretrained("Thebisso09/final_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 014298bbd7829a3bfeec380a7420a92c1bc325480aa98a565d925d2215e1ba9d
- Size of remote file:
- 5.11 kB
- SHA256:
- 0d25c1ec32c30367b442038b59f31dd3f0d7362cc9df520aeae79c8373fe59f5
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