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Transformers
Safetensors
English
Korean
llama
text-generation
llama-3-ko
text-generation-inference
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("4yo1/llama_1")
model = AutoModelForCausalLM.from_pretrained("4yo1/llama_1")Quick Links
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Model Details
Model Type: Transformer-based Language Model
Languages: English and Korean
Model Description
This fine-tuning approach allows the model to adapt to specific tasks or datasets with a minimal number of additional parameters, making it efficient and effective for specialized applications.
how to use - sample code
from transformers import AutoConfig, AutoModel, AutoTokenizer
config = AutoConfig.from_pretrained("4yo1/llama")
model = AutoModel.from_pretrained("4yo1/llama")
tokenizer = AutoTokenizer.from_pretrained("4yo1/llama")
datasets:
- 4yo1/llama3_test1
license: mit
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# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="4yo1/llama_1")