metadata
language:
- en
datasets:
- kyujinpy/Open-platypus-Commercial
library_name: transformers
pipeline_tag: text-generation
license: mit
phi-2-test
Model Details
Model Developers
- field2437
Base Model
- microsoft/phi-2(https://huggingface.co/microsoft/phi-2)
Training Dataset
- kyujinpy/Open-platypus-Commercial(https://huggingface.co/datasets/kyujinpy/Open-platypus-Commercial)
Model comparisons1
Model comparisons2
AI-Harness evaluation; link
| Model | Copa | HellaSwag | BoolQ | MMLU |
|---|---|---|---|---|
| 0-shot | 0-shot | 0-shot | 0-shot | |
| field2437/phi-2-test | 0.8900 | NaN | 0.5573 | NaN |
Sample Code
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
torch.set_default_device("cuda")
model = AutoModelForCausalLM.from_pretrained("microsoft/phi-2", torch_dtype="auto", trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained("microsoft/phi-2", trust_remote_code=True)
inputs = tokenizer('''def print_prime(n):
"""
Print all primes between 1 and n
"""''', return_tensors="pt", return_attention_mask=False)
outputs = model.generate(**inputs, max_length=200)
text = tokenizer.batch_decode(outputs)[0]
print(text)