jfrick commited on
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b53c82e
1 Parent(s): d386708

Update code examples so they can work out of the box

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  1. README.md +2 -0
README.md CHANGED
@@ -35,6 +35,7 @@ This allows the model to better adapt to human preferences in the conversations.
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  This requires a GPU with 48GB memory.
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  ```python
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  from transformers import AutoTokenizer, AutoModelForCausalLM
 
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  # init
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  tokenizer = AutoTokenizer.from_pretrained("togethercomputer/GPT-NeoXT-Chat-Base-20B")
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  model = AutoModelForCausalLM.from_pretrained("togethercomputer/GPT-NeoXT-Chat-Base-20B", torch_dtype=torch.float16)
@@ -66,6 +67,7 @@ print(output_str)
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  ```python
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  from transformers import AutoTokenizer, AutoModelForCausalLM
 
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  # init
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  tokenizer = AutoTokenizer.from_pretrained("togethercomputer/GPT-NeoXT-Chat-Base-20B")
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  model = AutoModelForCausalLM.from_pretrained("togethercomputer/GPT-NeoXT-Chat-Base-20B", torch_dtype=torch.bfloat16)
 
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  This requires a GPU with 48GB memory.
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  ```python
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  from transformers import AutoTokenizer, AutoModelForCausalLM
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+ import torch
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  # init
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  tokenizer = AutoTokenizer.from_pretrained("togethercomputer/GPT-NeoXT-Chat-Base-20B")
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  model = AutoModelForCausalLM.from_pretrained("togethercomputer/GPT-NeoXT-Chat-Base-20B", torch_dtype=torch.float16)
 
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  ```python
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  from transformers import AutoTokenizer, AutoModelForCausalLM
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+ import torch
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  # init
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  tokenizer = AutoTokenizer.from_pretrained("togethercomputer/GPT-NeoXT-Chat-Base-20B")
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  model = AutoModelForCausalLM.from_pretrained("togethercomputer/GPT-NeoXT-Chat-Base-20B", torch_dtype=torch.bfloat16)