Instructions to use testifyphili/tinyllama-esgexpert-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use testifyphili/tinyllama-esgexpert-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("PY007/TinyLlama-1.1B-Chat-v0.3") model = PeftModel.from_pretrained(base_model, "testifyphili/tinyllama-esgexpert-lora") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
README.md
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base_model: PY007/TinyLlama-1.1B-Chat-v0.3
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model-index:
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- name: tinyllama-esgexpert-lora
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# tinyllama-esgexpert-lora
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This model is a fine-tuned version of [PY007/TinyLlama-1.1B-Chat-v0.3](https://huggingface.co/PY007/TinyLlama-1.1B-Chat-v0.3) on the
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## Model description
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datasets:
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- generator
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base_model: PY007/TinyLlama-1.1B-Chat-v0.3
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model-index:
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- name: tinyllama-esgexpert-lora
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# tinyllama-esgexpert-lora
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This model is a fine-tuned version of [PY007/TinyLlama-1.1B-Chat-v0.3](https://huggingface.co/PY007/TinyLlama-1.1B-Chat-v0.3) on the generator dataset.
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## Model description
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