Master Transformers in 18 Hours with PyTorch TensorFlow HuggingFace | PART 1 | NLP Machine Learning
Hi, I am an Independent Data Scientist (specializing in NLP) | Kaggle Master. Follow me on 🐦 TWITTER: - for daily tips on DeepLearning, Machine Learning & NLP.
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1. @00:00:42 - Understanding BERT Embeddings and Tokenization | HuggingFace
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2. @00:16:55 - Adding custom Layer to a HuggingFace Pretrained Models | BERT
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3. @00:59:48 - Transformer Encoder - Built From Scratch with Python
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4. @02:30:43 - BERT from Hugging Face - Few Baseline Application - HuggingFace
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5. @03:13:57 - Cosine Similarity between sentences with Transformers HuggingFace
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6. @03:57:40 - Decoding strategies while generating text with GPT-2
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7. @05:00:34 - Topic Modeling with BERT and Automatic Cluster Labeling Implementation
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8. @07:06:06 - Deberta-v3-large model fine tuning for Kaggle Competition Feedback-Prize - English Language Evaluation
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9. @08:30:18 - Master Transformer in 18 Hours with PyTorch TensorFlow HuggingFace
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10. @09:32:24 - Text Summarization by Fine Tuning Transformer Model (Pegasus)
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11. @10:07:35 - BERTScore Paper Discussion - Evaluating Text Generation with BERT
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12. @10:15:40 - Fine Tuning BERT for Named Entity Recognition (NER)
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13. @10:57:47 - Fine Tuning DistilBERT for Multiclass Text Classification | TensorFlow
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