Instructions to use Ino4Dev/sampleTrainModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Ino4Dev/sampleTrainModel with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Ino4Dev/sampleTrainModel") model = PeftModel.from_pretrained(base_model, "Ino4Dev/sampleTrainModel") - Notebooks
- Google Colab
- Kaggle
Upload model
Browse files- adapter_config.json +1 -1
- adapter_model.bin +1 -1
adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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{
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"auto_mapping": null,
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"base_model_name_or_path": "Ino4Dev/sampleTrainModel",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:b755baf68271953792f3755e43c711d732bc59a2eba89f3f3a8fe7dbfe9dfb4b
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size 134264202
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