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README.md
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@@ -19,12 +19,13 @@ This model is released under CC-BY-NC-4.0.
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## Usage
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Install the required libraries as follows:
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```sh
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-
>>> python -m pip install numpy safetensors sentencepiece torch transformers
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```
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Execute the following python code:
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```python
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from transformers import AutoTokenizer, AutoModelForCausalLM
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tokenizer = AutoTokenizer.from_pretrained(
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"pfnet/plamo-13b-instruct-nc",
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torch_dtype=torch.bfloat16,
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device_map="auto",
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)
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def completion(prompt: str, max_new_tokens: int = 128) -> str:
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inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
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generated_ids = model.generate(
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## Usage
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Install the required libraries as follows:
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```sh
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>>> python -m pip install numpy safetensors sentencepiece torch transformers accelerate
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```
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Execute the following python code:
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```python
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import torch
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from transformers import AutoTokenizer, AutoModelForCausalLM
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tokenizer = AutoTokenizer.from_pretrained(
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"pfnet/plamo-13b-instruct-nc",
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torch_dtype=torch.bfloat16,
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device_map="auto",
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)
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```
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```python
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def completion(prompt: str, max_new_tokens: int = 128) -> str:
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inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
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generated_ids = model.generate(
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