Instructions to use moetezsa/OpenHermes_wikitable with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use moetezsa/OpenHermes_wikitable with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/OpenHermes-2.5-Mistral-7B-bnb-4bit") model = PeftModel.from_pretrained(base_model, "moetezsa/OpenHermes_wikitable") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use moetezsa/OpenHermes_wikitable with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for moetezsa/OpenHermes_wikitable to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for moetezsa/OpenHermes_wikitable to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for moetezsa/OpenHermes_wikitable to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="moetezsa/OpenHermes_wikitable", max_seq_length=2048, )
- Xet hash:
- 1f3fd113fa7b6a11157e485a5d777660fc4bed24c54b14dfcf45f463ca5c3ab0
- Size of remote file:
- 4.92 kB
- SHA256:
- d75b85e701b44405272ca4bd8e9daccd4d5dc7c4297058f685f002ff41cf79a6
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