mwitiderrick
/

open_llama_3b_instruct_v_0.2

Text Generation

text-generation-inference

Inference Endpoints

Model card Files Files and versions Community

mwitiderrick commited on Dec 9, 2023

Commit

6ae4004

•

1 Parent(s): cbc4832

Update README.md

Files changed (1) hide show

README.md +1 -1

README.md CHANGED Viewed

@@ -75,7 +75,7 @@ from transformers import AutoTokenizer, AutoModelForCausalLM,pipeline
 tokenizer = AutoTokenizer.from_pretrained("mwitiderrick/open_llama_3b_instruct_v_0.2")
 model = AutoModelForCausalLM.from_pretrained("mwitiderrick/open_llama_3b_instruct_v_0.2")
-Provide step-by-step instructions for making a sweet chicken bugger
 text_gen = pipeline(task="text-generation", model=model, tokenizer=tokenizer, max_length=500)
 output = text_gen(f"### Instruction:\n{query}\n### Response:\n")
 print(output[0]['generated_text'])

 tokenizer = AutoTokenizer.from_pretrained("mwitiderrick/open_llama_3b_instruct_v_0.2")
 model = AutoModelForCausalLM.from_pretrained("mwitiderrick/open_llama_3b_instruct_v_0.2")
+query = "Provide step-by-step instructions for making a sweet chicken bugger"
 text_gen = pipeline(task="text-generation", model=model, tokenizer=tokenizer, max_length=500)
 output = text_gen(f"### Instruction:\n{query}\n### Response:\n")
 print(output[0]['generated_text'])