Instructions to use crumb/Instruct-GPT-J with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use crumb/Instruct-GPT-J with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("crumb/Instruct-GPT-J", device_map="auto") - PEFT
How to use crumb/Instruct-GPT-J with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
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# Instruct-GPT-J
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<p style="color: green"> By ~the middle of 3/12/2023 this model will most likely be much better because I actually read the LoRa paper and found cleaner data and trained for longer with better hyperparameters. </p>
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A demo that runs in free Google Colab can be run here: https://bit.ly/3K1P4PQ just change the model dropdown to the name of this model.
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# Instruct-GPT-J
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<p style="color: green"> By ~the middle of 3/12/2023 this model will most likely be much better because I actually read the LoRa paper and found cleaner data and trained for longer with better hyperparameters (Rank 8 adaption on all QKVO for 200 steps @ bs 64). </p>
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A demo that runs in free Google Colab can be run here: https://bit.ly/3K1P4PQ just change the model dropdown to the name of this model.
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