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--- |
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library_name: transformers |
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tags: [] |
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--- |
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```python |
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>>> from transformers import MambaConfig, MambaForCausalLM, AutoTokenizer |
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>>> import torch |
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>>> tokenizer = AutoTokenizer.from_pretrained("EleutherAI/gpt-neox-20b", padding_side = "left") |
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>>> tokenizer.pad_token = tokenizer.eos_token |
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>>> model = MambaForCausalLM.from_pretrained("state-spaces/mamba-130m", vocab_size=50280, num_hidden_layers=24, torch_dtype=torch.float32) |
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>>> model.config.use_cache = True |
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>>> input_ids = tokenizer(["Hey how are you doing?", "Explain how soy sauce is made"], padding=True, return_tensors= "pt")["input_ids"] |
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>>> out = model.generate(input_ids, max_new_tokens=10) |
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>>> print(tokenizer.batch_decode(out)) |
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["<|endoftext|>Hey how are you doing?\n\nI'm a newbie to the game", 'Explain how soy sauce is made.\n\n1. Add the soy sauce to'] |
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``` |
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