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, )
File size: 129 Bytes
1459c5e | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:d75b85e701b44405272ca4bd8e9daccd4d5dc7c4297058f685f002ff41cf79a6
size 4920
|