|
--- |
|
license: mit |
|
license_name: microsoft-research-license |
|
license_link: LICENSE |
|
--- |
|
|
|
**DISCLAIMER**: I don't own the weights to this model, this is a property of Microsoft and taken from their official repository : [microsoft/phi-2](https://huggingface.co/microsoft/phi-2). |
|
The sole purpose of this repository is to use this model through the `transformers` API or to load and use the model using the HuggingFace `transformers` library. |
|
|
|
|
|
# Usage |
|
|
|
First make sure you have the latest version of the `transformers` installed. |
|
|
|
``` |
|
pip install -U transformers |
|
``` |
|
|
|
Then use the transformers library to load the model from the library itself |
|
|
|
```python |
|
from transformers import AutoModelForCausalLM, AutoTokenizer |
|
|
|
model = AutoModelForCausalLM.from_pretrained("susnato/phi-2") |
|
tokenizer = AutoTokenizer.from_pretrained("susnato/phi-2") |
|
|
|
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) |
|
|
|
``` |