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Download README.md from Startupbootcamp/README: direct link, hf CLI and curl.
- Browser
- Download file 1.08 kB
-
https://huggingface.co/spaces/Startupbootcamp/README/resolve/main/README.md
- Command line
-
hf download hf://spaces/Startupbootcamp/README/README.md
-
curl -L -o README.md https://huggingface.co/spaces/Startupbootcamp/README/resolve/main/README.md
1.08 kB
| title: README | |
| emoji: 🏢 | |
| colorFrom: pink | |
| colorTo: purple | |
| sdk: static | |
| pinned: false | |
| [<img src="https://assets-global.website-files.com/63f3e085b054e9e3120238f1/63f3e0ba605c2a218c60f27e_image%201.svg" width="250"/>](image.png) | |
| On this organization, you can find the following: | |
| **Llama3 Chat** | |
| - Llama3 - [Interactive UI](https://huggingface.co/chat/) | |
| Change the current model to Llama3 | |
| **Llama2 Interactive UI** | |
| - Llama2 7B Chat - [Interactive UI](https://huggingface.co/spaces/huggingface-projects/llama-2-7b-chat) | |
| - Llama2 13B Chat - [Interactive UI](https://huggingface.co/spaces/huggingface-projects/llama-2-13b-chat) | |
| **Llama3 Inference API** | |
| import requests | |
| API_URL = "https://api-inference.huggingface.co/models/meta-llama/Meta-Llama-3-8B-Instruct" | |
| headers = {"Authorization": "Bearer xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"} | |
| def query(payload): | |
| response = requests.post(API_URL, headers=headers, json=payload) | |
| return response.json() | |
| output = query({ | |
| "inputs": "What is the capital of france?", | |
| }) | |