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  This LoRA model was fine-tuned using the zeolite synthesis dataset ZSEE.
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  Usage:
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-
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  import torch
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  from transformers import (
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  AutoConfig,
@@ -53,4 +53,5 @@ output = tokenizer.decode(generation_output, skip_special_tokens=True)
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  print(output)
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  Output:
 
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  {"Add": [{"container": "NAN", "material": ["above mixture", "pre-prepared silicalite-1 seed"], "temperature": "NAN"}], "Stir": [{"sample": "NAN", "revolution": "NAN", "temperature": "NAN", "duration": "1 h"}]}
 
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  This LoRA model was fine-tuned using the zeolite synthesis dataset ZSEE.
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  Usage:
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+ ```
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  import torch
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  from transformers import (
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  AutoConfig,
 
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  print(output)
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  Output:
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+ ```
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  {"Add": [{"container": "NAN", "material": ["above mixture", "pre-prepared silicalite-1 seed"], "temperature": "NAN"}], "Stir": [{"sample": "NAN", "revolution": "NAN", "temperature": "NAN", "duration": "1 h"}]}