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pip install git+https://github.com/mrinaldi97/matformer.git1import torch
2from transformers import AutoModelForCausalLM, AutoTokenizer
3
4model = AutoModelForCausalLM.from_pretrained(
5 "CCC-Unito/kenji-endo-0.1",
6 trust_remote_code=True
7)
8tokenizer=AutoTokenizer.from_pretrained(model.config._tokenizer_name)
9text = "The transformer model is a"
10inputs = tokenizer(text,return_tensors='pt')['input_ids'].to(model.device)
11
12with torch.no_grad():
13 outputs = model.generate(inputs, max_new_tokens=50)
14
15generated = model.matformer_model.tokenizer.decode(outputs[0].tolist())
16
17print(generated)