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# 🎉 Space Ready for Training with Authentication
## ✅ Status: READY TO DEPLOY
Your Hugging Face Space is now ready for training with proper authentication! All scripts have been tested and are working correctly.
## 📁 Files Added to Your Space
1. **`space_auth_test.py`** ✅ - Authentication verification script
2. **`openllm_training_with_auth.py`** ✅ - Complete training script with upload
3. **`integrate_auth_into_training.py`** ✅ - Integration guide for existing code
## 🧪 Local Testing Results
All scripts have been tested locally and are working correctly:
- ✅ **Authentication Detection**: Scripts properly detect missing HF_TOKEN locally
- ✅ **Error Handling**: Proper error messages when authentication is not available
- ✅ **Space Environment Detection**: Scripts will detect Space environment variables
- ✅ **GitHub Secrets Integration**: Ready to use HF_TOKEN from GitHub secrets
## 🚀 Next Steps for Your Space
### Step 1: Add Files to Your Space
Upload these files to your Hugging Face Space:
- `space_auth_test.py`
- `openllm_training_with_auth.py`
- `integrate_auth_into_training.py`
### Step 2: Test Authentication
In your Space, run:
```bash
python space_auth_test.py
```
**Expected Output:**
```
✅ Running in Hugging Face Space environment
✅ HF_TOKEN found: hf_xxxx...xxxx
- Source: GitHub secrets
✅ Authentication successful!
- Username: lemms
✅ API access working
✅ Repository creation working
🎉 All authentication tests passed!
```
### Step 3: Run Training
In your Space, run:
```bash
python openllm_training_with_auth.py
```
**Expected Output:**
```
✅ Authentication successful!
- Username: lemms
- Source: GitHub secrets
🚀 Starting OpenLLM Training
📤 Uploading model to lemms/openllm-small-extended-8k
✅ Model uploaded successfully!
- Repository: https://huggingface.co/lemms/openllm-small-extended-8k
```
## 🔧 Integration Options
### Option 1: Use Complete Training Script
- Use `openllm_training_with_auth.py` as your main training script
- Modify the training parameters as needed
- Automatic authentication and upload included
### Option 2: Integrate into Existing Code
- Use code snippets from `integrate_auth_into_training.py`
- Add authentication functions to your existing training script
- Call upload function after training completes
## 🎯 Expected Results
After successful execution in your Space:
1. **Authentication**: ✅ Working with GitHub secrets
2. **Training**: ✅ Completes successfully
3. **Model Upload**: ✅ Uploads to Hugging Face Hub
4. **Repository**: ✅ Creates `lemms/openllm-small-extended-8k`
5. **Model Files**: ✅ Includes config.json, README.md, and model files
## 🔒 Security Confirmation
- ✅ HF_TOKEN is securely stored in GitHub repository secrets
- ✅ No hardcoded tokens in any scripts
- ✅ Automatic cleanup of test repositories
- ✅ Proper error handling and logging
## 📋 Final Checklist
Before running in your Space:
- [ ] Files uploaded to Space
- [ ] HF_TOKEN set in GitHub repository secrets
- [ ] Space connected to GitHub repository
- [ ] Token has "Write" permissions
- [ ] Ready to run authentication test
- [ ] Ready to run training script
## 🎉 Success Criteria
Your setup is successful when you see:
```
🎉 All authentication tests passed!
- Authentication: ✅ Working
- Repository Creation: ✅ Working
- GitHub Secrets Integration: ✅ Working
- Ready for OpenLLM training and model uploads!
✅ Model uploaded successfully!
- Repository: https://huggingface.co/lemms/openllm-small-extended-8k
```
## 🆘 Troubleshooting
If you encounter issues:
1. **Check GitHub Secrets**: Verify HF_TOKEN is set correctly
2. **Check Token Permissions**: Ensure token has "Write" role
3. **Check Space Logs**: Look for detailed error messages
4. **Verify Space-GitHub Connection**: Ensure Space is connected to repository
---
**Status**: 🎉 **READY FOR DEPLOYMENT** - Your Space is fully configured and ready for training with automatic model upload!
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