Instructions to use agarkovv/CryptoTrader-LM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use agarkovv/CryptoTrader-LM with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Ministral-8B-Instruct-2410") model = PeftModel.from_pretrained(base_model, "agarkovv/CryptoTrader-LM") - Notebooks
- Google Colab
- Kaggle
Update adapter_config.json
Browse files- adapter_config.json +2 -1
adapter_config.json
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
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}
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false,
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"model_type": "gpt2"
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}
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