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docs/src/content/docs/400/400-25-dl-opensource-models.ipynb
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"# 400.25 | Open Source Models with Hugging Face\n", | ||
"\n", | ||
"Notes and exercises based on the [Open Source Models With Hugging Face](https://learn.deeplearning.ai/courses/open-source-models-hugging-face) course from DeepLearning.AI. Please reference that course directly to build your own notebooks. My goal here is to create a sandbox where I can explore these ideas and build my own intuition interactively." | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"---\n", | ||
"\n", | ||
"### 0. Validate Setup\n", | ||
"\n", | ||
"Before you begin working on exercises in this section, make sure you are setup to work with the right LLM Providers by running the relevant code cells from the [LLM Setup](./400-00-llm-setup.ipynb) notebook." | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"---\n", | ||
"\n", | ||
"### 1. Introduction" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"---\n", | ||
"\n", | ||
"### 2. Natural Language Processing" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"---\n", | ||
"\n", | ||
"### 3. Translation and Summarization" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"---\n", | ||
"\n", | ||
"### 4. Sentence Embeddings" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"---\n", | ||
"\n", | ||
"### 5. Zero-Shot Audio Classification" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"---\n", | ||
"\n", | ||
"### 6. Automatic Speech Recognition" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"---\n", | ||
"\n", | ||
"### 7. Text To Speech" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"---\n", | ||
"\n", | ||
"### 8. Object Detection" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"---\n", | ||
"\n", | ||
"### 9. Image Segmentation" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"---\n", | ||
"\n", | ||
"### 10. Image Retrieval" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"---\n", | ||
"\n", | ||
"### 11. Image Captioning" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"---\n", | ||
"\n", | ||
"### 12. Multimodal Visual QA" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"---\n", | ||
"\n", | ||
"### 13. Zero-Shot Image Classification" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"---\n", | ||
"\n", | ||
"### 14. Deployment" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"---\n", | ||
"\n", | ||
"### 15. Conclusion" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"---\n" | ||
] | ||
} | ||
], | ||
"metadata": { | ||
"language_info": { | ||
"name": "python" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 2 | ||
} |
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