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Update README.md
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README.md
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@@ -18,8 +18,8 @@ We have provided two types of examples. You can modify the input, generation par
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- Denovo molecule generation example:
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```python
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from transformers import AutoTokenizer, LlamaForCausalLM
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import torch
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>>> tokenizer = AutoTokenizer.from_pretrained("zjunlp/MolGen-7b")
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>>> model = LlamaForCausalLM.from_pretrained(
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- Molecular completion example:
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```python
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from transformers import AutoTokenizer, LlamaForCausalLM
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import torch
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>>> tokenizer = AutoTokenizer.from_pretrained("zjunlp/MolGen-7b")
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>>> model = LlamaForCausalLM.from_pretrained(
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- Denovo molecule generation example:
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```python
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>>> from transformers import AutoTokenizer, LlamaForCausalLM
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>>> import torch
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>>> tokenizer = AutoTokenizer.from_pretrained("zjunlp/MolGen-7b")
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>>> model = LlamaForCausalLM.from_pretrained(
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- Molecular completion example:
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```python
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>>> from transformers import AutoTokenizer, LlamaForCausalLM
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>>> import torch
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>>> tokenizer = AutoTokenizer.from_pretrained("zjunlp/MolGen-7b")
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>>> model = LlamaForCausalLM.from_pretrained(
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