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---
license: mit
tags:
- embedding
- text-embedding
- crypto
- nlp
library_name: transformers
---
# crypto-mini-embed
**crypto-mini-embed** adalah contoh model mini embedding berbasis arsitektur sederhana untuk eksperimen NLP seperti:
- text similarity
- vector search
- clustering
- semantic tagging
- crypto-topic classification
Model ini merupakan **dummy model** untuk membantu pengguna memahami struktur repository model di HuggingFace.
---
## ⚙️ Arsitektur Model
- Tipe model: `MiniEmbeddingModel`
- Hidden size: 64
- Max length: 128 tokens
- Framework: PyTorch
- Format: Safetensors
- Tokenizer: Basic CharTokenizer (dummy)
---
## 📦 File dalam Model
| File | Fungsi |
|------|--------|
| `config.json` | Konfigurasi model |
| `tokenizer.json` | Tokenizer sederhana |
| `model.safetensors` | Parameter model |
| `README.md` | Dokumentasi model |
---
## 🧪 Contoh Penggunaan
```python
from transformers import AutoTokenizer, AutoModel
import torch
tok = AutoTokenizer.from_pretrained("0xcubin/crypto-mini-embed")
model = AutoModel.from_pretrained("0xcubin/crypto-mini-embed")
text = "Bitcoin is digital money"
inputs = tok(text, return_tensors="pt")
with torch.no_grad():
emb = model(**inputs).last_hidden_state.mean(dim=1)
print(emb.shape) # contoh: (1, 64)
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