Instructions to use HuggingAlgorithms/figr_mistral7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use HuggingAlgorithms/figr_mistral7b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1") model = PeftModel.from_pretrained(base_model, "HuggingAlgorithms/figr_mistral7b") - Notebooks
- Google Colab
- Kaggle
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Download README.md from HuggingAlgorithms/figr_mistral7b: direct link, hf CLI and curl.
- Browser
- Download file 119 Bytes
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https://huggingface.co/HuggingAlgorithms/figr_mistral7b/resolve/main/README.md
- Command line
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hf download hf://HuggingAlgorithms/figr_mistral7b/README.md
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curl -L -o README.md https://huggingface.co/HuggingAlgorithms/figr_mistral7b/resolve/main/README.md
119 Bytes
metadata
license: mit
library_name: peft
base_model: mistralai/Mistral-7B-v0.1
Framework versions
- PEFT 0.7.2.dev0