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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f20abb5cca45775e306c6113df5199c754502141866b0cbe650d24a8c47f2d80
- Size of remote file:
- 268 MB
- SHA256:
- 50b85e5d29e672909706f6450da920b2f755e5dbe016abb7e8516ff1d48c2b4a
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