Instructions to use monsterapi/gpt2_alpaca-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use monsterapi/gpt2_alpaca-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("gpt2") model = PeftModel.from_pretrained(base_model, "monsterapi/gpt2_alpaca-lora") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
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README.md
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datasets:
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- tatsu-lab/alpaca
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library_name: peft
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tags:
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- gpt2
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- instruct
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- alpaca-instruct
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- alpaca
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---
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We finetuned gpt2 on tatsu-lab/alpaca Dataset for 5 epochs using [MonsterAPI](https://monsterapi.ai) no-code [LLM finetuner](https://docs.monsterapi.ai/fine-tune-a-large-language-model-llm).
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---
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library_name: peft
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tags:
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- gpt2
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- instruct
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- alpaca-instruct
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- alpaca
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datasets:
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- tatsu-lab/alpaca
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base_model: gpt2
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---
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We finetuned gpt2 on tatsu-lab/alpaca Dataset for 5 epochs using [MonsterAPI](https://monsterapi.ai) no-code [LLM finetuner](https://docs.monsterapi.ai/fine-tune-a-large-language-model-llm).
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