29 lines
507 B
Plaintext
29 lines
507 B
Plaintext
Step1:
|
|
!pip install -U transformers
|
|
|
|
|
|
step2:
|
|
|
|
from transformers import AutoTokenizer, AutoModelForCausalLM
|
|
|
|
tokenizer = AutoTokenizer.from_pretrained("varuneshv/VCoder")
|
|
|
|
model = AutoModelForCausalLM.from_pretrained(
|
|
"varuneshv/VCoder"
|
|
)
|
|
|
|
step3:
|
|
|
|
model = model.to("cuda")
|
|
|
|
inputs = tokenizer(
|
|
"write a python code to merge 3 arrays",
|
|
return_tensors="pt"
|
|
).to("cuda")
|
|
|
|
outputs = model.generate(
|
|
**inputs,
|
|
max_new_tokens=100
|
|
)
|
|
|
|
print(tokenizer.decode(outputs[0], skip_special_tokens=True)) |