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README.md
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@@ -73,14 +73,32 @@ Users (both direct and downstream) should be made aware of the risks, biases and
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Use the code below to get started with the model.
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```python
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from transformers import
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model_id = "zephyr-7b-beta-Agent-Instruct-math"
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pipe = pipeline(task="text-generation", model=model, tokenizer=tokenizer, max_length=600)
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prompt = "Enter your query"
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result = pipe(prompt)
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print(result[0]['generated_text'])
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[More Information Needed]
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Use the code below to get started with the model.
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```python
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from transformers import (
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AutoModelForCausalLM,
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AutoTokenizer,
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BitsAndBytesConfig,
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HfArgumentParser,
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TrainingArguments,
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pipeline,
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logging,
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)
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model_id = "zephyr-7b-beta-Agent-Instruct-math"
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base_model = "HuggingFaceH4/zephyr-7b-beta"
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tokenizer = AutoTokenizer.from_pretrained(base_model, trust_remote_code=True)
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tokenizer.padding_side = 'right'
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tokenizer.pad_token = tokenizer.eos_token
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tokenizer.add_eos_token = True
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tokenizer.add_bos_token, tokenizer.add_eos_token
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pipe = pipeline(task="text-generation", model=model, tokenizer=tokenizer, max_length=600)
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prompt = "Enter your query"
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result = pipe(prompt)
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print(result[0]['generated_text'])
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```
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[More Information Needed]
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