Alexandre-Numind commited on
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Update README.md

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  1. README.md +3 -2
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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 = ["","",""]):
@@ -61,7 +62,7 @@ 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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@@ -91,6 +92,6 @@ schema = """{
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  }"""
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  prediction = predict_NuExtract(model,tokenizer,text, schema,example = ["","",""])
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-
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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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  ```