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pip-sql-1.3b

Text Generation
Transformers
PyTorch
Safetensors
JAX
English
llama
sql
code
text2sql
instruction_tuned
basemodel
text-generation-inference
conversational
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@@ -101,7 +101,7 @@ print(tokenizer.decode(outputs[0], skip_special_tokens=True).split('<sql>')[1].s
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  ### Flax
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  ```python
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- from transfomers import FlaxAutoModelForCausalLM, AutoTokenizer
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  device = "cuda"
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  model = FlaxAutoModelForCausalLM.from_pretrained("PipableAI/pipSQL-1.3b")
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  tokenizer = AutoTokenizer.from_pretrained("PipableAI/pipSQL-1.3b")
@@ -113,7 +113,7 @@ print(tokenizer.decode(outputs[0], skip_special_tokens=True).split('<sql>')[1].s
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  ### TensorFlow
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  ```python
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- from transfomers import TFAutoModelForCausalLM, AutoTokenizer
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  device = "cuda"
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  model = TFAutoModelForCausalLM.from_pretrained("PipableAI/pipSQL-1.3b")
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  tokenizer = AutoTokenizer.from_pretrained("PipableAI/pipSQL-1.3b")
 
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  ### Flax
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  ```python
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+ from transformers import FlaxAutoModelForCausalLM, AutoTokenizer
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  device = "cuda"
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  model = FlaxAutoModelForCausalLM.from_pretrained("PipableAI/pipSQL-1.3b")
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  tokenizer = AutoTokenizer.from_pretrained("PipableAI/pipSQL-1.3b")
 
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  ### TensorFlow
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  ```python
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+ from transformers import TFAutoModelForCausalLM, AutoTokenizer
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  device = "cuda"
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  model = TFAutoModelForCausalLM.from_pretrained("PipableAI/pipSQL-1.3b")
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  tokenizer = AutoTokenizer.from_pretrained("PipableAI/pipSQL-1.3b")