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README.md
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@@ -47,6 +47,7 @@ The model is optimized for code generation and cannot be used as chat model.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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#import model from hugging face repository
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import torch
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from transformers import (
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logging
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)
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model_repo_id ="iterateai/Interplay-AppCoder"
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-
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#### Load the model in FP16
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iterate_model = AutoModelForCausalLM.from_pretrained(
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model_repo_id,
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low_cpu_mem_usage=True,
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trust_remote_code=True
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)
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#Note: You can quantize the model using bnb confi parameter to load the model in T4 GPU
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-
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### Load tokenizer to save it
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tokenizer = AutoTokenizer.from_pretrained(model_repo_id, trust_remote_code=True)
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tokenizer.pad_token = tokenizer.eos_token
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## How to Get Started with the Model
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Use the code below to get started with the model.
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```
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#import model from hugging face repository
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import torch
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from transformers import (
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logging
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)
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model_repo_id ="iterateai/Interplay-AppCoder"
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```
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#### Load the model in FP16
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```
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iterate_model = AutoModelForCausalLM.from_pretrained(
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model_repo_id,
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low_cpu_mem_usage=True,
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trust_remote_code=True
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)
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#Note: You can quantize the model using bnb confi parameter to load the model in T4 GPU
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```
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### Load tokenizer to save it
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tokenizer = AutoTokenizer.from_pretrained(model_repo_id, trust_remote_code=True)
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tokenizer.pad_token = tokenizer.eos_token
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