How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="Yjhhh/model")
# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Yjhhh/model")
model = AutoModelForCausalLM.from_pretrained("Yjhhh/model", device_map="auto")
Quick Links

Uploaded model

  • Developed by: Yjhhh
  • License: apache-2.0
  • Finetuned from model : unsloth/gemma-7b-bnb-4bit

This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.

Downloads last month
15
Safetensors
Model size
9B params
Tensor type
BF16
ยท
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support

Model tree for Yjhhh/model

Finetuned
(228)
this model

Space using Yjhhh/model 1