Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Balbdour/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Balbdour/model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Balbdour/model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Balbdour/model") model = AutoModelForSequenceClassification.from_pretrained("Balbdour/model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5be0750c50b02bf0d4e2356dfc71c944513c20d25ce24774831611232f4c6b1e
- Size of remote file:
- 5.71 kB
- SHA256:
- 40c636c7683172652af46d0a16e21d3a18becd0229002ae619a88e8761bcb07c
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