Instructions to use dawveed/AWS-Sage with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dawveed/AWS-Sage with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("tiiuae/falcon-7b") model = PeftModel.from_pretrained(base_model, "dawveed/AWS-Sage") - Notebooks
- Google Colab
- Kaggle
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base_model: tiiuae/falcon-7b
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# Model Card for AWS Sage
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The AWS-Sage is a Language Model (LLM) designed to assist users with questions related to Amazon Web Services (AWS) support. Powered by advanced natural language processing, it can swiftly provide answers to inquiries regarding AWS support plans, billing, technical issues, service limitations, and best practices. Whether you're a seasoned AWS user or new to the platform, the SupportBot offers timely and accurate assistance, helping you navigate the complexities of AWS support with ease.
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base_model: tiiuae/falcon-7b
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<img src="https://huggingface.co/dawveed/AWS-Sage/resolve/main/logo.png">
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# Model Card for AWS Sage
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The AWS-Sage is a Language Model (LLM) designed to assist users with questions related to Amazon Web Services (AWS) support. Powered by advanced natural language processing, it can swiftly provide answers to inquiries regarding AWS support plans, billing, technical issues, service limitations, and best practices. Whether you're a seasoned AWS user or new to the platform, the SupportBot offers timely and accurate assistance, helping you navigate the complexities of AWS support with ease.
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