Instructions to use temporary0-0name/run_opt1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use temporary0-0name/run_opt1 with Transformers:

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

pipe = pipeline("text-generation", model="temporary0-0name/run_opt1")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("temporary0-0name/run_opt1")
model = AutoModelForCausalLM.from_pretrained("temporary0-0name/run_opt1")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use temporary0-0name/run_opt1 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "temporary0-0name/run_opt1"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "temporary0-0name/run_opt1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/temporary0-0name/run_opt1

SGLang

How to use temporary0-0name/run_opt1 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 "temporary0-0name/run_opt1" \
    --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": "temporary0-0name/run_opt1",
		"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 "temporary0-0name/run_opt1" \
        --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": "temporary0-0name/run_opt1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use temporary0-0name/run_opt1 with Docker Model Runner:
```
docker model run hf.co/temporary0-0name/run_opt1
```

temporary0-0name commited on Mar 31, 2024

Commit

ae59521

verified ·

1 Parent(s): 3afff67

Upload model

Browse files

Files changed (4) hide show

README.md +1 -1
config.json +1 -1
generation_config.json +1 -1
model.safetensors +1 -1

README.md CHANGED Viewed

@@ -1,9 +1,9 @@
 ---
-base_model: temporary0-0name/rand_model
 tags:
 - generated_from_trainer
 datasets:
 - wikitext
 model-index:
 - name: run_opt1
   results: []

 ---
 tags:
 - generated_from_trainer
 datasets:
 - wikitext
+base_model: temporary0-0name/rand_model
 model-index:
 - name: run_opt1
   results: []

config.json CHANGED Viewed

@@ -19,7 +19,7 @@
   "pad_token_id": 0,
   "position_embedding_type": "absolute",
   "torch_dtype": "float32",
-  "transformers_version": "4.35.2",
   "type_vocab_size": 2,
   "use_cache": true,
   "vocab_size": 30522

   "pad_token_id": 0,
   "position_embedding_type": "absolute",
   "torch_dtype": "float32",
+  "transformers_version": "4.38.2",
   "type_vocab_size": 2,
   "use_cache": true,
   "vocab_size": 30522

generation_config.json CHANGED Viewed

@@ -1,5 +1,5 @@
 {
   "_from_model_config": true,
   "pad_token_id": 0,
-  "transformers_version": "4.35.2"
 }

 {
   "_from_model_config": true,
   "pad_token_id": 0,
+  "transformers_version": "4.38.2"
 }

model.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
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