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README.md
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@@ -28,7 +28,23 @@ We conducted continued pretraining using Japanese data on the English language m
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## Usage
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```python
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-
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```
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## Model Details
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## Usage
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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tokenizer = AutoTokenizer.from_pretrained("stabilityai/japanese-mistral-7b-v0.1-base")
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model = AutoModelForCausalLM.from_pretrained(
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"stabilityai/japanese-mistral-7b-v0.1-base",
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trust_remote_code=True,
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torch_dtype="auto",
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)
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model.cuda()
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inputs = tokenizer("AI で科学研究を加速するには、", return_tensors="pt").to("cuda")
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tokens = model.generate(
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**inputs,
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max_new_tokens=64,
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temperature=0.75,
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top_p=0.95,
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do_sample=True,
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)
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print(tokenizer.decode(tokens[0], skip_special_tokens=True))
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```
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## Model Details
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