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Nov 14, 2024
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Update code blocks in huggingface.md #6737

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8 changes: 5 additions & 3 deletions docs/my-website/docs/providers/huggingface.md
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Original file line number Diff line number Diff line change
Expand Up @@ -37,7 +37,7 @@ os.environ["HUGGINGFACE_API_KEY"] = "huggingface_api_key"
messages = [{ "content": "There's a llama in my garden 馃槺 What should I do?","role": "user"}]

# e.g. Call 'https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct' from Serverless Inference API
response = litellm.completion(
response = completion(
model="huggingface/meta-llama/Meta-Llama-3.1-8B-Instruct",
messages=[{ "content": "Hello, how are you?","role": "user"}],
stream=True
Expand Down Expand Up @@ -165,14 +165,14 @@ Steps to use

```python
import os
import litellm
from litellm import completion

os.environ["HUGGINGFACE_API_KEY"] = ""

# TGI model: Call https://huggingface.co/glaiveai/glaive-coder-7b
# add the 'huggingface/' prefix to the model to set huggingface as the provider
# set api base to your deployed api endpoint from hugging face
response = litellm.completion(
response = completion(
model="huggingface/glaiveai/glaive-coder-7b",
messages=[{ "content": "Hello, how are you?","role": "user"}],
api_base="https://wjiegasee9bmqke2.us-east-1.aws.endpoints.huggingface.cloud"
Expand Down Expand Up @@ -383,6 +383,8 @@ def default_pt(messages):
#### Custom prompt templates

```python
import litellm

# Create your own custom prompt template works
litellm.register_prompt_template(
model="togethercomputer/LLaMA-2-7B-32K",
Expand Down