LLM Fine-Tuning 08: Master Hugging Face in 3 Hours | Full Crash Course 2025 #ai #huggingface #llm

Master Hugging Face from Zero to Pro—All in ONE 3-Hour Video! This is the **most complete Hugging Face course** on YouTube, covering everything from the **basics to production-level LLM deployments**. What you'll learn in this crash course: •• Introduction to Hugging Face ecosystem • Installing Transformers and CLI setup • Creating a repository (manually or using `huggingface-cli`) • Working with Hugging Face Datasets Library • Custom dataset creation and uploading to Hub • Data preprocessing and visualization • Using built-in `pipeline()` method for inference • Using tokenizers and creating a custom tokenizer • Sentence embeddings with SentenceTransformers • Fine-tuning & pushing models to Hugging Face Hub • Building inference APIs with `huggingface_hub` • Evaluation of model outputs • Using Hugging Face API programmatically • Integrating Hugging Face with LangChain for advanced pipelines Perfect for: ML Engineers Data Scientists Students & Researchers Anyone building with LLMs in 2025! Code Repository & Notes: https://github.com/sunnysavita10/Complete-LLM-Finetuning/blob/main/hf_crash_course.ipynb 🕒 Chapters: 00:00:00 Introduction, Roadmap & Why Hugging Face in 2025 00:24:50 Hugging Face token, Login to Hugging Face, Repo Creation 00:39:41 Hugging Face Dataset Library, Preprocessing and Visualization 00:58:50 Create a custom dataset and push to the Hugging Face Hub. 01:06:22 Tokenization in Hugging Face 01:19:05 Train your own tokenizer and use it 01:26:37 Embedding using automodel, cosine similarity, and Sentence Transformer for Sentence embedding 2:04:14 Download the model in the local server 02:08:412 Pipeline Method 02:16:26 Evaluation matrix 02:41:07 Hugging Face Hub HF Api 03:02:37 Langchain Hugging Face Got questions or topic requests? Drop a comment below 👇. 🔔 Subscribe for more AI tutorials 📢 Like 👍 | Comment 💬 | Subscribe 🔔 for more LLM power content! 📌 Keywords Covered: #LLMFineTuning #RNNvsTransforme