Instructions to use TuningAI/Llama2_7B_Cover_letter_generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TuningAI/Llama2_7B_Cover_letter_generator with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "TuningAI/Llama2_7B_Cover_letter_generator") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
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README.md
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license: llama2
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datasets:
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- TuningAI/Cover_letter_v2
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pipeline_tag: text-generation
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---
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## Model Name: **Llama2_7B_Cover_letter_generator**
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## Description:
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language:
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- en
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license: llama2
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library_name: peft
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datasets:
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- TuningAI/Cover_letter_v2
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pipeline_tag: text-generation
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base_model: meta-llama/Llama-2-7b-hf
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---
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## Model Name: **Llama2_7B_Cover_letter_generator**
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## Description:
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