Instructions to use dvdmrs09/gemma-7b-it-python2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dvdmrs09/gemma-7b-it-python2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b") model = PeftModel.from_pretrained(base_model, "dvdmrs09/gemma-7b-it-python2") - Notebooks
- Google Colab
- Kaggle
Update adapter_config.json
Browse files- adapter_config.json +4 -0
adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "google/gemma-2b",
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{
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"_name_or_path": "/raid/younes/gg-converted-ckpt/gemma-7b-it",
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"architectures": [
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"GemmaForCausalLM"
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],
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "google/gemma-2b",
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