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Dwrko-M1.0 / HUGGINGFACE_UPLOAD.md
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rajatsainisim
🚀 Complete Dwrko-M1.0 setup with HuggingFace upload tools
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🚀 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 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): 

# 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): 

pip install --user huggingface_hub transformers peft torch

🚀 Step 3: Model Upload करना

Method 1: Automated Script (आसान तरीका) 

# 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 

# 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 

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: 

ls -la ./dwrko-m1.0/

🎯 Step 5: Upload Process

Complete Upload Command: 

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 

# 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" 

# Token re-generate करें
# Profile → Settings → Access Tokens
# Old token delete करके new बनाएं

# Login फिर से करें
huggingface-cli login

❌ "Repository already exists" 

# 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" 

# 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: 

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: 

python upload_to_hf.py \
  --model_path ./dwrko-m1.0 \
  --username YOUR_USERNAME \
  --repo_name Dwrko-M1.0 \
  --private

Custom Model Card: 

# 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: 

# 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: 

[![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! 🎉