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README.md
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@@ -42,6 +42,7 @@ To use the model:
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```python
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import json
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from transformers import AutoModelForCausalLM, AutoTokenizer
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def predict_NuExtract(model,tokenizer,text, schema,example = ["","",""]):
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model = AutoModelForCausalLM.from_pretrained("numind/NuExtract", trust_remote_code=True,torch_dtype=torch.bfloat16)
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tokenizer = AutoTokenizer.from_pretrained("numind/NuExtract", trust_remote_code=True)
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-
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model.eval()
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}"""
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prediction = predict_NuExtract(model,tokenizer,text, schema,example = ["","",""])
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```
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```python
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import json
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from transformers import AutoModelForCausalLM, AutoTokenizer
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import torch
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def predict_NuExtract(model,tokenizer,text, schema,example = ["","",""]):
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model = AutoModelForCausalLM.from_pretrained("numind/NuExtract", trust_remote_code=True,torch_dtype=torch.bfloat16)
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tokenizer = AutoTokenizer.from_pretrained("numind/NuExtract", trust_remote_code=True)
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model.to("cuda")
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model.eval()
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}"""
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prediction = predict_NuExtract(model,tokenizer,text, schema,example = ["","",""])
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print(prediction)
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```
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