Instructions to use kshitijthakkar/deepseek-v4-mini-300M-from-flash-sft-test-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kshitijthakkar/deepseek-v4-mini-300M-from-flash-sft-test-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/root/.cache/huggingface/hub/models--kshitijthakkar--deepseek-v4-mini-300M-from-flash/snapshots/fc8b9934bfdc04adaa7ff7f3f10f48349c72bf64") model = PeftModel.from_pretrained(base_model, "kshitijthakkar/deepseek-v4-mini-300M-from-flash-sft-test-lora") - Notebooks
- Google Colab
- Kaggle
LoRA adapter for kshitijthakkar/deepseek-v4-mini-300M-from-flash
SFT LoRA adapter. Load with:
from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer
base = AutoModelForCausalLM.from_pretrained(
"kshitijthakkar/deepseek-v4-mini-300M-from-flash", trust_remote_code=True
)
model = PeftModel.from_pretrained(base, "kshitijthakkar/deepseek-v4-mini-300M-from-flash-sft-test-lora")
tokenizer = AutoTokenizer.from_pretrained("kshitijthakkar/deepseek-v4-mini-300M-from-flash", trust_remote_code=True)
- Downloads last month
- 30
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for kshitijthakkar/deepseek-v4-mini-300M-from-flash-sft-test-lora
Base model
deepseek-ai/DeepSeek-V4-Flash