File size: 3,190 Bytes
31f0e50
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
# IndicBERT Download Guide - Alternative Methods

Since you're having issues with transformers library, here are **3 alternative methods** to download IndicBERT:

---

## πŸš€ Method 1: Using `huggingface_hub` (RECOMMENDED - Lightest)



**This is the SIMPLEST and LIGHTEST method - no transformers needed!**



### Step 1: Install huggingface_hub
```powershell

pip install huggingface_hub

```

### Step 2: Run the simple download script
```powershell

# Option A: Pass token as argument

python scripts/download_indicbert_simple.py your_token_here



# Option B: Set environment variable first

set HUGGINGFACE_TOKEN=your_token_here

python scripts/download_indicbert_simple.py

```

**That's it!** This will download the model files to your cache directory.

---

## πŸ”§ Method 2: Using Git LFS

If you have Git and Git LFS installed:

```powershell

# Install git-lfs (if not installed)

# Windows: Download from https://git-lfs.github.com/

# Then:

git lfs install

git clone https://your_token@huggingface.co/ai4bharat/indic-bert ./models/indic-bert

cd ./models/indic-bert

git lfs pull

```

---

## 🌐 Method 3: Direct API Download

Uses Python requests library to download files directly:

```powershell

python scripts/download_indicbert_alternative.py your_token_here

```

This script tries all 3 methods automatically.

---

## πŸ“‹ What You Need to Provide

1. **Your HuggingFace Token**
   - Get it from: https://huggingface.co/settings/tokens
   - Should start with `hf_`
   - Make sure it has "Read" permissions

2. **Model Access**
   - Request access at: https://huggingface.co/ai4bharat/indic-bert
   - Click "Agree and access repository"
   - Wait for approval (usually instant)

---

## βœ… Quick Test

Once you have your token, test it:

```powershell

# Install the lightweight library

pip install huggingface_hub



# Test download

python scripts/download_indicbert_simple.py your_token_here

```

---

## πŸ› Troubleshooting

### Error: "401 Unauthorized"
- **Fix**: Check your token is correct
- **Fix**: Make sure you've requested access to the model

### Error: "Gated repository"
- **Fix**: Request access at https://huggingface.co/ai4bharat/indic-bert
- **Fix**: Wait for approval, then try again

### Error: "huggingface_hub not found"

- **Fix**: `pip install huggingface_hub`

### Error: "Model not found"
- **Fix**: Check model ID: `ai4bharat/indic-bert`
- **Fix**: Verify it exists at HuggingFace

---

## πŸ“ Model Location After Download

After successful download, the model will be cached at:
- **Windows**: `C:\Users\<username>\.cache\huggingface\hub\models--ai4bharat--indic-bert`
- **Linux/Mac**: `~/.cache/huggingface/hub/models--ai4bharat--indic-bert`

You can use it later with:
```python

from transformers import AutoModel

model = AutoModel.from_pretrained("ai4bharat/indic-bert", token="your_token")

```

---

## 🎯 Recommended Approach

**Use Method 1 (huggingface_hub)** - it's the simplest and doesn't require transformers!



```powershell

pip install huggingface_hub

python scripts/download_indicbert_simple.py your_token_here

```