Quick start

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("npvinHnivqn/phi-1_5-NRL", trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained("npvinHnivqn/phi-1_5-NRL", trust_remote_code=True)

inputs = tokenizer('''<|USER|> Write a paragragh about animal''', return_tensors="pt", return_attention_mask=False)

outputs = model.generate(**inputs, max_length=200)
text = tokenizer.batch_decode(outputs)[0]
print(text)

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Safetensors

Model size

1.42B params

Tensor type

F32

Inference Examples

Text Generation

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