COMPLETE_UPLOAD_GUIDE.md

🎯 Complete Hugging Face Upload Guide for Bengali AI

📋 Your Model is Ready!

Repository: megharudushi/Sheikh Files: 11 complete files (1.4GB total) Status: ✅ Ready for upload

🚀 Upload Methods (Choose One)

Method 1: Simple Python API (Recommended)

# Install dependencies
uv pip install huggingface_hub

# Run upload script
python3 simple_hf_upload.py

Method 2: Command Line Interface

# Install HF CLI
pip install huggingface_hub

# Login (prompts for token)
huggingface-cli login

# Upload directory
huggingface-cli upload megharudushi/Sheikh ready_bengali_ai/ \
  --commit-message "Complete Bengali AI model with tokenizer"

Method 3: Git-based Upload (Advanced)

# Install git-xet
pip install git-xet

# Clone repository
git clone git@hf.co:megharudushi/Sheikh

# Copy files
cp ready_bengali_ai/* Sheikh/

# Commit and push
cd Sheikh
git add .
git commit -m "Add Bengali AI model - 355M parameters"
git push

Method 4: Web Interface (Easiest)

1. Go to https://huggingface.co/new
2. Choose "Model" repository type
3. Name: megharudushi/Sheikh
4. Drag and drop all files from ready_bengali_ai/ folder
5. Add description and publish

📁 Your Model Files (Ready to Upload)

ready_bengali_ai/
├── model.bin (1.4GB)           # Main model weights
├── tokenizer.json (3.4MB)      # Tokenizer configuration  
├── vocab.json (780KB)          # Vocabulary
├── merges.txt (446KB)          # BPE merges
├── config.json (13KB)          # Model configuration
├── params.json (2KB)           # Parameters config
├── special_tokens_map.json     # Special tokens
├── tokenizer_config.json       # Tokenizer settings
├── chat_template.jinja         # Chat template
├── README.md (924B)            # Model documentation
└── usage_guide.md (1.8KB)      # Usage instructions

🔐 Getting Your Hugging Face Token

1. Go to: https://huggingface.co/settings/tokens
2. Click "New token"
3. Give it a name (e.g., "Bengali AI Upload")
4. Select "Write" permissions
5. Copy the token (starts with hf_)

🌐 After Upload

Your model will be available at: https://huggingface.co/megharudushi/Sheikh

Anyone can use it with:

from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("megharudushi/Sheikh")
model = AutoModelForCausalLM.from_pretrained("megharudushi/Sheikh")

# Bengali query
input_text = "বাংলাদেশের রাজধানী কী?"
inputs = tokenizer.encode(input_text, return_tensors="pt")
outputs = model.generate(inputs, max_length=150)
response = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(response)

🎯 Model Information

• Base Model: microsoft/DialoGPT-medium
• Parameters: 355M
• Language: Bengali (Bangla)
• Training Data: Alpaca Bangla dataset
• Capabilities: Instruction following, educational content, cultural knowledge

🔧 Troubleshooting

Authentication Issues:

• Check token: huggingface-cli whoami
• Re-login: huggingface-cli login
• Set token: export HF_TOKEN=your_token_here

Repository Issues:

• Repository might not exist yet - will be created on first upload
• Check username: Ensure megharudushi is your HF username
• Permissions: Ensure you have write access

Upload Issues:

• Large file size: model.bin (1.4GB) may take time
• Network: Ensure stable internet connection
• Try alternative method if one fails

🎉 Success!

Once uploaded, your Bengali AI model will be:

• ✅ Publicly accessible
• ✅ Searchable on Hugging Face Hub
• ✅ Loadable with transformers library
• ✅ Ready for others to use and build upon

Your contribution to Bengali NLP is now live! 🌍