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:
- b934067a94521d879621e8bc1c8408b3a1b18eba7326b1e451816c93bd05571b
- Size of remote file:
- 268 MB
- SHA256:
- 29d14b758540c113c553dc509b8c1a348b890796c88900b69f29eb1a8157b845
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