Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use cdhartono/classifier-chapter4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cdhartono/classifier-chapter4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cdhartono/classifier-chapter4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cdhartono/classifier-chapter4") model = AutoModelForSequenceClassification.from_pretrained("cdhartono/classifier-chapter4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f6c2e96f4dc07bcdb7a1e24281e2a67603b2d4b280d966781cc5bc01352759b3
- Size of remote file:
- 5.84 kB
- SHA256:
- ba9ee2a3e005a81785ac2a02d59074f8e16734108d6f6b35481a8eaf0d4ddc03
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