Caleb Bartholomew
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Update README.md
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README.md
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language:
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- en
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library_name: transformers
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---
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language:
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- en
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library_name: transformers
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---
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Toy model finetuned on the `b-mc2/sql-create-context` dataset.
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## Sample Code
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```python
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer
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device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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model = AutoModelForCausalLM.from_pretrained("Artifact-io/toy-sql-28M").to(device)
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tokenizer = AutoTokenizer.from_pretrained("Artifact-io/toy-sql-28M")
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inputs = tokenizer([
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"""CREATE TABLE head (age INTEGER)
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How many heads of the departments are older than 56?
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"""
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],
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return_tensors="pt",
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).to(device)
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outputs = model.generate(**inputs, max_new_tokens=200, do_sample=True, top_k=50, top_p=0.95)
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text = tokenizer.batch_decode(outputs[:, inputs.input_ids.shape[1]:], skip_special_tokens=True)[0].split("---")[0]
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print(text)
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```
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