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You are here		www.kdnuggets.com How to Implement Cross-Lingual Transfer Learning with mBERT in Hugging Face Transformers - KDnuggets
\|	\|	codingrelic.geekhold.com Coding Relic: Training Gemma3-270m for German Q-and-A	3.6 parsecs away Travel
\|	\|	Google recently introduced Gemma3-270M, a smaller Gemma3 model with "only" 270 million parameters instead of billions. The most interesti...	3.6 parsecs away Travel
\|	\|	www.confident-ai.com The Ultimate Guide to Fine-Tune LLaMA 3, With LLM Evaluations - Confident AI	3.5 parsecs away Travel
\|	\|	In this article, we'll walkthrough how to fine-tune and evaluate a LLaMA-2 model using Hugging Face and DeepEval	3.5 parsecs away Travel
\|	\|	blog.vespa.ai Fine-tuning a BERT model with transformers \| Vespa Blog	1.7 parsecs away Travel
\|	\|	Setup a custom Dataset, fine-tune BERT with Transformers Trainer and export the model via ONNX.	1.7 parsecs away Travel
\|	\|	neptune.ai Fine-Tuning Llama 3 with LoRA: Step-by-Step Guide	6.0 parsecs away Travel
\|		You can apply the key ideas of this "Google Collab-friendly" approach to many other base models and tasks.	6.0 parsecs away Travel