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Ponce-01/DFEP-03
DFEP-03 is a text generation model from Ponce-01. Use it when you need the model to write or continue text. It is set up for adapter-transformers. The card lists the license as other.
This model was trained using AutoTrain. For more information, please visit AutoTrain.
Downloads · 30 days
8
57% of all-time downloads
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.safetensors2.2 GB · 97%
From the Hugging Face model README
This model was trained using AutoTrain. For more information, please visit AutoTrain.
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_path)
model = AutoModelForCausalLM.from_pretrained(
model_path,
device_map="auto",
torch_dtype='auto'
).eval()
# Prompt content: "hi"
messages = [
{"role": "user", "content": "hi"}
]
input_ids = tokenizer.apply_chat_template(conversation=messages, tokenize=True, add_generation_prompt=True, return_tensors='pt')
output_ids = model.generate(input_ids.to('cuda'))
response = tokenizer.decode(output_ids[0][input_ids.shape[1]:], skip_special_tokens=True)
# Model response: "Hello! How can I assist you today?"
print(response)