Progen2 Base

🚀 ProGen2-base模型鏡像

本項目是ProGen2-base基礎模型的鏡像（配置和前向傳播過程有輕微修改），原模型由Nijkamp等人提出。同時，你可以參考我的GitHub 倉庫，瞭解該模型的微調示例。

🚀 快速開始

示例代碼

以下是該模型的使用示例：

from transformers import AutoModelForCausalLM
from tokenizers import Tokenizer
import torch
import torch.nn.functional as F

# load model and tokenizer
model = AutoModelForCausalLM.from_pretrained("hugohrban/progen2-base", trust_remote_code=True)
tokenizer = Tokenizer.from_pretrained("hugohrban/progen2-base")
tokenizer.no_padding()

# prepare input
prompt = "1MEVVIVTGMSGAGK"
input_ids = torch.tensor(tokenizer.encode(prompt).ids).to(model.device)

# forward pass
logits = model(input_ids).logits

# print output probabilities
next_token_logits = logits[-1, :]
next_token_probs = F.softmax(next_token_logits, dim=-1)
for i in range(tokenizer.get_vocab_size(with_added_tokens=False)):
    print(f"{tokenizer.id_to_token(i)}: {100 * next_token_probs[i].item():.2f} %")

📄 許可證

本項目採用BSD 3條款許可證（BSD 3-Clause License）。