adding hf pro tutorial

This commit is contained in:
Krrish Dholakia 2023-09-25 22:21:31 -07:00
parent ff398de046
commit b246629a5b
7 changed files with 87 additions and 41 deletions

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@ -0,0 +1,45 @@
# CodeLlama - Code Infilling
This tutorial shows how you can call CodeLlama (hosted on Huggingface PRO Inference Endpoints), to fill code.
This is a specialized task particular to code models. The model is trained to generate the code (including comments) that best matches an existing prefix and suffix.
This task is available in the base and instruction variants of the **7B** and **13B** CodeLlama models. It is not available for any of the 34B models or the Python versions.
# usage
```python
import os
from litellm import longer_context_model_fallback_dict, ContextWindowExceededError, completion
os.environ["HUGGINGFACE_API_KEY"] = "your-hf-token" # https://huggingface.co/docs/hub/security-tokens
## CREATE THE PROMPT
prompt_prefix = 'def remove_non_ascii(s: str) -> str:\n """ '
prompt_suffix = "\n return result"
### set <pre> <suf> to indicate the string before and after the part you want codellama to fill
prompt = f"<PRE> {prompt_prefix} <SUF>{prompt_suffix} <MID>"
messages = [{"content": prompt, "role": "user"}]
model = "huggingface/meta-llama/Llama-2-70b-chat-hf" # specify huggingface as the provider 'huggingface/'
response = completion(model=model, messages=messages, max_tokens=500)
```
# output
```python
def remove_non_ascii(s: str) -> str:
""" Remove non-ASCII characters from a string.
Args:
s (str): The string to remove non-ASCII characters from.
Returns:
str: The string with non-ASCII characters removed.
"""
result = ""
for c in s:
if ord(c) < 128:
result += c
return result
```

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@ -88,6 +88,7 @@ const sidebars = {
items: [
'tutorials/azure_openai',
'tutorials/ab_test_llms',
'tutorials/huggingface_codellama',
'tutorials/huggingface_tutorial',
'tutorials/TogetherAI_liteLLM',
'tutorials/finetuned_chat_gpt',

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poetry.lock generated
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@ -525,13 +525,13 @@ files = [
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