Text Generation
PEFT
Safetensors
English
biology
single-cell
tcr
adapter
lora
chain-of-thought
reinforcement-learning
Instructions to use EthanGao123/CellHermes-CoT-RL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use EthanGao123/CellHermes-CoT-RL with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("EthanGao123/CellHermes-CoT-SFT") model = PeftModel.from_pretrained(base_model, "EthanGao123/CellHermes-CoT-RL") - Notebooks
- Google Colab
- Kaggle
Set PEFT base model path in adapter config
Browse files- adapter_config.json +2 -2
adapter_config.json
CHANGED
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@@ -3,7 +3,7 @@
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"peft_type": "LORA",
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"auto_mapping": null,
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"peft_version": "0.19.1",
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"base_model_name_or_path":
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"revision": null,
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"inference_mode": false,
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"r": 32,
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@@ -45,4 +45,4 @@
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"use_bdlora": null,
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"arrow_config": null,
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"ensure_weight_tying": false
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}
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"peft_type": "LORA",
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"auto_mapping": null,
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"peft_version": "0.19.1",
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"base_model_name_or_path": "EthanGao123/CellHermes-CoT-SFT",
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"revision": null,
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"inference_mode": false,
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| 9 |
"r": 32,
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| 45 |
"use_bdlora": null,
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| 46 |
"arrow_config": null,
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"ensure_weight_tying": false
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+
}
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