Instructions to use BigSalmon/InformalToFormalLincoln59Paraphrase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use BigSalmon/InformalToFormalLincoln59Paraphrase with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="BigSalmon/InformalToFormalLincoln59Paraphrase")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln59Paraphrase")
model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln59Paraphrase")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use BigSalmon/InformalToFormalLincoln59Paraphrase with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "BigSalmon/InformalToFormalLincoln59Paraphrase"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "BigSalmon/InformalToFormalLincoln59Paraphrase",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/BigSalmon/InformalToFormalLincoln59Paraphrase

SGLang

How to use BigSalmon/InformalToFormalLincoln59Paraphrase with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "BigSalmon/InformalToFormalLincoln59Paraphrase" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "BigSalmon/InformalToFormalLincoln59Paraphrase",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "BigSalmon/InformalToFormalLincoln59Paraphrase" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "BigSalmon/InformalToFormalLincoln59Paraphrase",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use BigSalmon/InformalToFormalLincoln59Paraphrase with Docker Model Runner:
```
docker model run hf.co/BigSalmon/InformalToFormalLincoln59Paraphrase
```

BigSalmon commited on Jul 30, 2022

Commit

592ec56

1 Parent(s): ae656e0

Update README.md

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README.md CHANGED Viewed

@@ -248,4 +248,39 @@ input: not loyal
 ***
 input:
 ```

 ***
 input:
+```
+```
+first: ( was complicit in / was involved in ).
+antonym: ( was blameless / was not an accomplice to / had no hand in / was uninvolved in ).
+***
+first: ( have no qualms about / see no issue with ).
+antonym: ( are deeply troubled by / harbor grave reservations about / have a visceral aversion to / take ( umbrage at / exception to ) / are wary of  ).
+***
+first: ( do not see eye to eye / disagree often ).
+antonym: ( are in sync / are united / have excellent rapport / are like-minded / are in step / are of one mind / are in lockstep / operate in perfect harmony / march in lockstep ).
+***
+first:
+```
+```
+stiff with competition, law school {A} is the launching pad for countless careers, {B} is a crowded field, {C} ranks among the most sought-after professional degrees, {D} is a professional proving ground.
+***
+languishing in viewership, saturday night live {A} is due for a creative renaissance, {B} is no longer a ratings juggernaut, {C} has been eclipsed by its imitators, {C} can still find its mojo.
+***
+dubbed the "manhattan of the south," atlanta {A} is a bustling metropolis, {B} is known for its vibrant downtown, {C} is a city of rich history, {D} is the pride of georgia.
+***
+embattled by scandal, harvard {A} is feeling the heat, {B} cannot escape the media glare, {C} is facing its most intense scrutiny yet, {D} is in the spotlight for all the wrong reasons.
 ```