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73 lines
2.1 KiB
73 lines
2.1 KiB
2 weeks ago
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# Frequently Asked Questions
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## 🔍 Common Issues and Solutions
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---
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### 💬 Q1: Why am I failing to parse LLM output format / How to select the right LLM?
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<div class="faq-answer">
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<p><strong>Solution:</strong> Small language models often struggle to follow prompts and generate responses in the expected format. For better results, we recommend using large reasoning models such as:</p>
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<ul>
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<li>DeepSeek-R1 671B</li>
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<li>OpenAI o-series models</li>
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<li>Claude 3.7 Sonnet</li>
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</ul>
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<p>These models provide superior reasoning capabilities and are more likely to produce correctly formatted outputs.</p>
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</div>
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---
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### 🌐 Q2: "We couldn't connect to 'https://huggingface.co'" error
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<div class="faq-answer">
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<p><strong>Error Message:</strong></p>
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<div class="error-message">
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OSError: We couldn't connect to 'https://huggingface.co' to load this file, couldn't find it in the cached files and it looks like GPTCache/paraphrase-albert-small-v2 is not the path to a directory containing a file named config.json.
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Checkout your internet connection or see how to run the library in offline mode at 'https://huggingface.co/docs/transformers/installation#offline-mode'.
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</div>
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<p><strong>Solution:</strong> This issue is typically caused by network access problems to Hugging Face. Try these solutions:</p>
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<details>
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<summary><strong>Network Issue? Try Using a Mirror</strong></summary>
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```bash
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export HF_ENDPOINT=https://hf-mirror.com
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```
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</details>
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<details>
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<summary><strong>Permission Issue? Set Up a Personal Token</strong></summary>
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```bash
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export HUGGING_FACE_HUB_TOKEN=xxxx
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```
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</details>
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</div>
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---
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### 📓 Q3: DeepSearcher doesn't run in Jupyter notebook
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<div class="faq-answer">
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<p><strong>Solution:</strong> This is a common issue with asyncio in Jupyter notebooks. Install <code>nest_asyncio</code> and add the following code to the top of your notebook:</p>
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<div class="code-steps">
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<p><strong>Step 1:</strong> Install the required package</p>
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```bash
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pip install nest_asyncio
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```
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<p><strong>Step 2:</strong> Add these lines to the beginning of your notebook</p>
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```python
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import nest_asyncio
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nest_asyncio.apply()
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```
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</div>
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</div>
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</div>
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