Natural Language Processing
cli99/llm-analysis
Latency and Memory Analysis of Transformer Models for Training and Inference
🤖 Language Models
PythonApache-2.0updated Apr 19, 2025
Using Transformers from HuggingFace in R
$ git clone https://github.com/OscarKjell/text.gitLatency and Memory Analysis of Transformer Models for Training and Inference
Custom APRL machine-learning algorithm + a curated ML knowledge base of 923 papers, lectures, and explainers. NumPy classifier/regressor, tests, benchmarks, provenance, Obsidian, and agent-ready Markdown.
This is the corresponding code for the book Transformers in Action
BERT classification model for processing texts longer than 512 tokens. Text is first divided into smaller chunks and after feeding them to BERT, intermediate results are pooled. The implementation allows fine-tuning.
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