Instructions to use neuralnetworker/flan-T5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use neuralnetworker/flan-T5-base with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-base") model = PeftModel.from_pretrained(base_model, "neuralnetworker/flan-T5-base") - Notebooks
- Google Colab
- Kaggle
Commit ·
f7ab88c
1
Parent(s): 8ed1d93
Upload model
Browse files- adapter_config.json +3 -3
- adapter_model.safetensors +2 -2
adapter_config.json
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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"lora_alpha":
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"lora_dropout": 0.
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"modules_to_save": null,
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"peft_type": "LORA",
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"r":
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"lora_alpha": 32,
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"lora_dropout": 0.05,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 32,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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adapter_model.safetensors
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size 14176016
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