francislabounty
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Update README.md
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README.md
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@@ -3,6 +3,10 @@ license: apache-2.0
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datasets:
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- Open-Orca/SlimOrca
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---
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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("serpdotai/sparsetral-16x7B-v1", trust_remote_code=True)
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model = AutoModelForCausalLM.from_pretrained("serpdotai/sparsetral-16x7B-v1", device_map="auto", trust_remote_code=True).eval()
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inputs = tokenizer('### Human:\nHow are you?\n### Assistant:\n', return_tensors='pt')
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inputs = inputs.to(model.device)
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pred = model.generate(**inputs)
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print(tokenizer.decode(pred.cpu()[0], skip_special_tokens=True))
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datasets:
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- Open-Orca/SlimOrca
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---
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prompt format
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```
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### System:\n{system}\n### Human:\n{user}\n### Assistant:\n"
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```
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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("serpdotai/sparsetral-16x7B-v1", trust_remote_code=True)
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model = AutoModelForCausalLM.from_pretrained("serpdotai/sparsetral-16x7B-v1", device_map="auto", trust_remote_code=True).eval()
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inputs = tokenizer('### System:\n\n### Human:\nHow are you?\n### Assistant:\n', return_tensors='pt')
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inputs = inputs.to(model.device)
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pred = model.generate(**inputs)
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print(tokenizer.decode(pred.cpu()[0], skip_special_tokens=True))
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