Instructions to use BigSalmon/DefinitionsSynonyms2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use BigSalmon/DefinitionsSynonyms2 with Transformers:

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

pipe = pipeline("text-generation", model="BigSalmon/DefinitionsSynonyms2")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("BigSalmon/DefinitionsSynonyms2")
model = AutoModelForCausalLM.from_pretrained("BigSalmon/DefinitionsSynonyms2")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use BigSalmon/DefinitionsSynonyms2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "BigSalmon/DefinitionsSynonyms2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "BigSalmon/DefinitionsSynonyms2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/BigSalmon/DefinitionsSynonyms2

SGLang

How to use BigSalmon/DefinitionsSynonyms2 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/DefinitionsSynonyms2" \
    --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/DefinitionsSynonyms2",
		"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/DefinitionsSynonyms2" \
        --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/DefinitionsSynonyms2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use BigSalmon/DefinitionsSynonyms2 with Docker Model Runner:
```
docker model run hf.co/BigSalmon/DefinitionsSynonyms2
```

BigSalmon commited on Jan 29, 2023

Commit

183ca64

1 Parent(s): 78ece8f

Update README.md

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@@ -68,4 +68,9 @@ answer: enthusiastic
 ```
 dating back to the early twentieth century, the new york yankees have [blank] over american baseball. [sep] reigned [answer]
 ```

 ```
 dating back to the early twentieth century, the new york yankees have [blank] over american baseball. [sep] reigned [answer]
+```
+```
+ideas: in modern-day america, it is customary for the commander-in-chief to conduct regular press conferences
+related keywords: transparency, check and balance, sacrosanct, public accountability, adversarial, unscripted, direct access, open government, watchdog, healthy democracy, institutional integrity, right to know, direct line of communication, behind closed doors, updates, track progress, instill confidence, reassure, humanize, leadership style, day-to-day, forthcoming, demystify, ask hard questions
 ```