Text Generation
PEFT
Safetensors
English
recipe-adaptation
dietary-restrictions
culinary
sft
lora
trl
hf_jobs
mistral-hackathon
conversational
Eval Results (legacy)
Instructions to use sumitdotml/robuchan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sumitdotml/robuchan with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Ministral-8B-Instruct-2410") model = PeftModel.from_pretrained(base_model, "sumitdotml/robuchan") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c0708b6ab26d2f2b70edcf7e634b8726b3c2dca9303ac8ed213fce0bc007d82c
- Size of remote file:
- 17.1 MB
- SHA256:
- d7edbeaf20dd7f571b5dd1c54d9ace4f9b6299127cc7ba2afb14a6d51a4a79a4
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