Instructions to use HimashaJ96/zephyr-Me with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use HimashaJ96/zephyr-Me with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TheBloke/zephyr-7B-beta-GPTQ") model = PeftModel.from_pretrained(base_model, "HimashaJ96/zephyr-Me") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): c9cc9de
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Browse files
README.md
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---
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license: mit
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-
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tags:
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- trl
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- sft
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- generated_from_trainer
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metrics:
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- rouge
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model-index:
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- name: zephyr-Me
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results: []
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.16.0
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- Tokenizers 0.15.0
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---
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license: mit
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library_name: peft
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tags:
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- trl
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- sft
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- generated_from_trainer
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metrics:
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- rouge
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base_model: TheBloke/zephyr-7B-beta-GPTQ
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model-index:
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- name: zephyr-Me
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results: []
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### Framework versions
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- PEFT 0.7.1
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.16.0
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- Tokenizers 0.15.0
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