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:
- e4a06b5426ddc16e14b0c574e8dee0c3bb72982562251a0eccc760c9e49444e8
- Size of remote file:
- 5.24 kB
- SHA256:
- f0159b3ff98daddb156f80bc3f3837bb83316b2331fac39d6748bd0fd19e73f5
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