Instructions to use Mayuresh87/TinyLlama-1.1B-sql-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Mayuresh87/TinyLlama-1.1B-sql-v0.1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v0.6") model = PeftModel.from_pretrained(base_model, "Mayuresh87/TinyLlama-1.1B-sql-v0.1") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
README.md
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@@ -42,7 +42,7 @@ The following hyperparameters were used during training:
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: constant
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- lr_scheduler_warmup_ratio: 0.03
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- training_steps:
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- mixed_precision_training: Native AMP
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### Training results
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: constant
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- lr_scheduler_warmup_ratio: 0.03
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- training_steps: 1000
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- mixed_precision_training: Native AMP
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### Training results
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