# Word2Vec Model

This is a Word2Vec model trained on text data.

## Model Details
- **Vocabulary size**: 3
- **Embedding dimension**: 64
- **Total words**: 35174

## Usage

```python
from transformers import AutoTokenizer
import torch

# Load tokenizer
tokenizer = AutoTokenizer.from_pretrained("roshbeed/hn-word2vec")

# Load embeddings
embeddings = torch.load("word_embeddings.pt")
```

## Training Data
Trained on text8 dataset with synthetic upvote scores.