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NLP with Transformers (Practical Fine-tuning)
Fine-tune transformer models for classification and extraction tasks with strong evaluation and deployment patterns.
NLPTransformersBERTFine-tuning
Duration
3 days
Format
Remote
Level
Intermediate
Key outcomes
- Fine-tune transformers for text classification
- Build robust evaluation and error analysis for NLP
- Handle imbalance and labeling noise
- Package inference for real usage
Program
Detailed syllabus will be published soon. Contact us to receive the latest version.