Text Generation
PEFT
Safetensors
English
Spanish
llama4_text
agriculture
climate
crop-calendar
evidence-grounding
bilingual
lora
autoscientist
adaption
conversational
4-bit precision
bitsandbytes
Instructions to use MarianaCodebase/AgroVeritas-Scout-17B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MarianaCodebase/AgroVeritas-Scout-17B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("togethercomputer/Llama-4-Scout-17B-16E-Instruct_bnb_4bit") model = PeftModel.from_pretrained(base_model, "MarianaCodebase/AgroVeritas-Scout-17B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 479cd84469fe7df7508f0be6dfdbe49ed4caa15093b6212dc02c0cfe342a2dcc
- Size of remote file:
- 27.9 MB
- SHA256:
- 172c9eb4beafc72601690da3ccfcede5c2e6806a8d5ec1fca33e22acea8023a4
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