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Word2Vec Model
This is a Word2Vec model trained on text data.
Model Details
- Vocabulary size: 3
- Embedding dimension: 64
- Total words: 35174
Usage
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.
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