01:17:43
Fine-tune PaliGemma for image to JSON use cases
01:20:41
Transformers demystified: how do ChatGPT, GPT-4, LLaMa work?
52:48
Creating your own ChatGPT: Supervised fine-tuning (SFT)
39:53
Training and deploying open-source large language models
20:18
Contributing a model to HF series: part 6
56:11
Contributing a model to HF series: part 5
35:32
Contributing a model to HF series: part 4
01:08:18
Contributing a model to HF series: part 3
01:04:50
Contributing a model to HF series: part 2
42:47
Contributing a model to HF series: part 1
40:31
Git-version, host and share any custom PyTorch model using HuggingFace
49:53
How a Transformer works at inference vs training time
47:25
Fine-tune ConvNeXT for image classification [end-to-end tutorial]
00:15
LayoutLMv2 Gradio demo
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