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rdo method via
OBLITERATUS.| Detail | Value |
|---|---|
| Base model | usermma/LFM2.5-230M-ECE |
| Method | rdo |
| Source | obliterate |
1from transformers import AutoModelForCausalLM, AutoTokenizer
2
3model = AutoModelForCausalLM.from_pretrained("LFM2.5-230M-ECE-OBLITERATED")
4tokenizer = AutoTokenizer.from_pretrained("LFM2.5-230M-ECE-OBLITERATED")
5
6prompt = "Hello, how are you?"
7inputs = tokenizer(prompt, return_tensors="pt")
8outputs = model.generate(**inputs, max_new_tokens=256)
9print(tokenizer.decode(outputs[0], skip_special_tokens=True))