# 🚀 HuggingFace पर Dwrko-M1.0 Upload करना

**Complete Step-by-Step Guide** - हिंदी में समझाया गया!

## 📋 Pre-Requirements (पहले से चाहिए)

1. **HuggingFace Account** - [huggingface.co](https://huggingface.co) पर account बनाएं
2. **Trained Model** - आपका `dwrko-m1.0` model ready हो
3. **HuggingFace Token** - Access token generate करें

---

## 🔑 Step 1: HuggingFace Token बनाना

### 1.1 HuggingFace पर Login करें
```
https://huggingface.co/login
```

### 1.2 Token Generate करें
1. Profile → Settings → Access Tokens पर जाएं
2. "New token" पर click करें
3. Token name: `Dwrko-M1.0-Upload`
4. Type: **Write** select करें
5. "Generate" पर click करें
6. Token को copy करके safe रखें ⚠️

---

## 🛠️ Step 2: Dependencies Install करना

### Virtual Environment बनाएं (Recommended):
```bash
# Virtual environment बनाएं
python3 -m venv dwrko_env

# Activate करें
source dwrko_env/bin/activate  # Linux/Mac
# या
dwrko_env\Scripts\activate     # Windows

# Dependencies install करें
pip install huggingface_hub transformers peft torch
```

### System-wide Install (Alternative):
```bash
pip install --user huggingface_hub transformers peft torch
```

---

## 🚀 Step 3: Model Upload करना

### Method 1: Automated Script (आसान तरीका)

```bash
# Upload script run करें
python upload_to_hf.py \
  --model_path ./dwrko-m1.0 \
  --username YOUR_USERNAME \
  --repo_name Dwrko-M1.0

# Example:
python upload_to_hf.py \
  --model_path ./dwrko-m1.0 \
  --username rajat123 \
  --repo_name Dwrko-M1.0
```

### Method 2: Manual Commands

```bash
# 1. Login करें
huggingface-cli login
# Token paste करें जब पूछे

# 2. Repository create करें
huggingface-cli repo create Dwrko-M1.0 --type model

# 3. Model upload करें
huggingface-cli upload Dwrko-M1.0/ ./dwrko-m1.0 --repo-type model
```

### Method 3: Python Script से

```python
from huggingface_hub import HfApi, login

# Login करें
login(token="YOUR_TOKEN_HERE")

# Upload करें
api = HfApi()
api.upload_folder(
    folder_path="./dwrko-m1.0",
    repo_id="your-username/Dwrko-M1.0",
    repo_type="model"
)
```

---

## 📁 Step 4: Model Files Check करना

Upload करने से पहले ये files होनी चाहिए:

```
dwrko-m1.0/
├── adapter_config.json      ✅ LoRA configuration
├── adapter_model.safetensors ✅ Trained weights
├── tokenizer_config.json    ✅ Tokenizer settings
├── special_tokens_map.json  ✅ Special tokens
├── model_info.json          ✅ Model information
└── README.md               ✅ Model card (auto-created)
```

### Files Check करने के लिए:
```bash
ls -la ./dwrko-m1.0/
```

---

## 🎯 Step 5: Upload Process

### Complete Upload Command:
```bash
python upload_to_hf.py \
  --model_path ./dwrko-m1.0 \
  --username YOUR_USERNAME \
  --repo_name Dwrko-M1.0 \
  --token YOUR_TOKEN
```

### Upload होने के बाद:
```
🚀 Uploading Dwrko-M1.0 to HuggingFace Hub...
✅ Repository created/updated: https://huggingface.co/YOUR_USERNAME/Dwrko-M1.0
✅ Model card created
🎉 Successfully uploaded Dwrko-M1.0 to HuggingFace!
🔗 Model URL: https://huggingface.co/YOUR_USERNAME/Dwrko-M1.0
```

---

## 🔧 Troubleshooting (समस्या समाधान)

### ❌ "externally-managed-environment" Error
```bash
# Solution 1: Virtual environment use करें
python3 -m venv dwrko_env
source dwrko_env/bin/activate
pip install huggingface_hub

# Solution 2: User install
pip install --user huggingface_hub

# Solution 3: System packages (Ubuntu/Debian)
sudo apt install python3-huggingface-hub
```

### ❌ "Authentication Error"
```bash
# Token re-generate करें
# Profile → Settings → Access Tokens
# Old token delete करके new बनाएं

# Login फिर से करें
huggingface-cli login
```

### ❌ "Repository already exists"
```bash
# Force update करें
python upload_to_hf.py \
  --model_path ./dwrko-m1.0 \
  --username YOUR_USERNAME \
  --repo_name Dwrko-M1.0-v2  # नया नाम दें
```

### ❌ "Large file upload failed"
```bash
# Git LFS enable करें
git lfs install

# बड़ी files के लिए:
huggingface-cli lfs-enable-largefiles ./dwrko-m1.0
```

---

## 📊 Post-Upload Checklist

Upload के बाद ये check करें:

### ✅ Model Page पर जाकर:
1. **Model Card** properly display हो रहा है
2. **Files** सभी upload हुई हैं
3. **Usage Examples** काम कर रहे हैं
4. **Tags** properly set हैं

### ✅ Test करें:
```python
from transformers import pipeline

# Your uploaded model test करें
generator = pipeline(
    "text-generation",
    model="YOUR_USERNAME/Dwrko-M1.0",
    tokenizer="mistralai/Mistral-7B-v0.1"
)

response = generator("### Instruction:\nWrite a hello world program\n\n### Response:\n")
print(response[0]['generated_text'])
```

---

## 🌟 Advanced Options

### Private Repository बनाना:
```bash
python upload_to_hf.py \
  --model_path ./dwrko-m1.0 \
  --username YOUR_USERNAME \
  --repo_name Dwrko-M1.0 \
  --private
```

### Custom Model Card:
```bash
# अपना README.md बनाएं
echo "# My Custom Dwrko-M1.0" > ./dwrko-m1.0/README.md

# Upload करें
python upload_to_hf.py --model_path ./dwrko-m1.0 --username YOUR_USERNAME
```

### Multiple Versions:
```bash
# Version tags के साथ
python upload_to_hf.py \
  --model_path ./dwrko-m1.0 \
  --username YOUR_USERNAME \
  --repo_name Dwrko-M1.0-v1.1
```

---

## 🎉 Success! अब आपका Model Live है!

### Model URL:
```
https://huggingface.co/YOUR_USERNAME/Dwrko-M1.0
```

### Share करें:
- Social media पर post करें
- Community में share करें  
- Documentation में link add करें
- README में badge लगाएं

### Badge Example:
```markdown
[![HuggingFace](https://img.shields.io/badge/🤗%20HuggingFace-Dwrko--M1.0-blue)](https://huggingface.co/YOUR_USERNAME/Dwrko-M1.0)
```

---

## 💡 Pro Tips

1. **Model Name**: Descriptive और unique रखें
2. **Tags**: Relevant tags add करें (`coding`, `reasoning`, `mistral`)
3. **Documentation**: Complete usage examples दें
4. **Version Control**: Regular updates करते रहें
5. **Community**: Feedback के लिए discussions enable करें

---

**🚀 Congratulations! आपका Dwrko-M1.0 अब HuggingFace पर live है!** 🎉