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.

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⚙️ Arsitektur Model

• Tipe model: MiniEmbeddingModel
• Hidden size: 64
• Max length: 128 tokens
• Framework: PyTorch
• Format: Safetensors
• Tokenizer: Basic CharTokenizer (dummy)

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📦 File dalam Model

File	Fungsi
config.json	Konfigurasi model
tokenizer.json	Tokenizer sederhana
model.safetensors	Parameter model
README.md	Dokumentasi model

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🧪 Contoh Penggunaan

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)