Instructions to use TuningAI/Llama2_13B_startup_Assistant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TuningAI/Llama2_13B_startup_Assistant with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-13b-chat-hf") model = PeftModel.from_pretrained(base_model, "TuningAI/Llama2_13B_startup_Assistant") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
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README.md
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library_name: peft
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license: llama2
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datasets:
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- TuningAI/Startups_V2
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language:
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tags:
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- law
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- startups
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- finance
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- Algerian
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## Model Name: **Llama2_13B_startup_Assistant**
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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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tags:
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- law
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- startups
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- finance
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- tax
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- Algerian
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datasets:
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- TuningAI/Startups_V2
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pipeline_tag: conversational
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base_model: meta-llama/Llama-2-13b-chat-hf
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## Model Name: **Llama2_13B_startup_Assistant**
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