Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use onewind2024/classifier-chapter4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use onewind2024/classifier-chapter4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="onewind2024/classifier-chapter4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("onewind2024/classifier-chapter4") model = AutoModelForSequenceClassification.from_pretrained("onewind2024/classifier-chapter4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 30bc74c645238b051f85ea168f7f648d95a24b4f75c3f439243241c1c0c77a0c
- Size of remote file:
- 5.3 kB
- SHA256:
- a34a02b23089875dbda61adfe90a9bf9b07e11fb9e342e3ef0a6fdd2c573626c
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