Transformers
PyTorch
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@@ -10,4 +10,13 @@ from mamba_ssm.models.mixer_seq_simple import MambaLMHeadModel
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  model = MambaLMHeadModel.from_pretrained("Zyphra/Mamba-370M", iteration=10_000, device="cuda")
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  ```
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- If iteration is not specified, then the model from the root of the repository is loaded, which is the final iteration (610,351).
 
 
 
 
 
 
 
 
 
 
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  model = MambaLMHeadModel.from_pretrained("Zyphra/Mamba-370M", iteration=10_000, device="cuda")
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  ```
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+ If iteration is not specified, then the model from the root of the repository is loaded, which is the final iteration (610,351).
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+
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+ Here is a snippet for text generation:
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+ ```
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+ import transformers, torch
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+ tokenizer = transformers.AutoTokenizer.from_pretrained("EleutherAI/gpt-neox-20b")
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+ inp_ids = torch.as_tensor([tokenizer.encode("Hello! How are you?")]).to("cuda")
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+ out_ids = model.generate(inp_ids, max_length=100)
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+ print(tokenizer.decode(out_ids[0]))
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+ ```