Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use TheChefHU/classifier-chapter4_distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheChefHU/classifier-chapter4_distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TheChefHU/classifier-chapter4_distilbert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TheChefHU/classifier-chapter4_distilbert") model = AutoModelForSequenceClassification.from_pretrained("TheChefHU/classifier-chapter4_distilbert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 748e57dc7696667b6e9421ec252f2a6608a4d4909735a6e74f1f4b4976172a7f
- Size of remote file:
- 268 MB
- SHA256:
- 80d766479e64cdb232b5a1a4e367b573d319c04c90a1fcffebb9a45708b1941b
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