Instructions to use HuggingAlgorithms/figr-mistral7b-html with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use HuggingAlgorithms/figr-mistral7b-html 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-html") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from HuggingAlgorithms/figr-mistral7b-html: direct link, hf CLI and curl.
- Browser
- Download file 347 MB
-
https://huggingface.co/HuggingAlgorithms/figr-mistral7b-html/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://HuggingAlgorithms/figr-mistral7b-html/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/HuggingAlgorithms/figr-mistral7b-html/resolve/main/adapter_model.safetensors
347 MB
- Xet hash:
- 1fd4af5a5008852c54a891bc16ec0aa182f0c9425030f37cd015a42a0f8fb65b
- Size of remote file:
- 347 MB
- SHA256:
- 79009ff3d52736b539af1b8d9cdacfa426148e53bf2d0aa7390dff8ec7e59223
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