Instructions to use kaizerBox/retnet-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use kaizerBox/retnet-summarization with Transformers:

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

pipe = pipeline("text-generation", model="kaizerBox/retnet-summarization")

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("kaizerBox/retnet-summarization", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use kaizerBox/retnet-summarization with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/kaizerBox/retnet-summarization

SGLang

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

Docker Model Runner
How to use kaizerBox/retnet-summarization with Docker Model Runner:
```
docker model run hf.co/kaizerBox/retnet-summarization
```

kaizerBox commited on Nov 8, 2023

Commit

af4ded5

1 Parent(s): 6c066c3

retnet-summarization

Browse files

Files changed (4) hide show

README.md +2 -2
model.safetensors +1 -1
runs/Nov08_16-29-26_5ea457dcb8a2/events.out.tfevents.1699460966.5ea457dcb8a2.266.0 +3 -0
training_args.bin +1 -1

README.md CHANGED Viewed

@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [kaizerBox/retnet-summarization](https://huggingface.co/kaizerBox/retnet-summarization) on the xsum dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.5369
 ## Model description
@@ -51,7 +51,7 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step  | Validation Loss |
 |:-------------:|:-----:|:-----:|:---------------:|
-| 3.8204        | 1.0   | 11525 | 3.5369          |
 ### Framework versions

 This model is a fine-tuned version of [kaizerBox/retnet-summarization](https://huggingface.co/kaizerBox/retnet-summarization) on the xsum dataset.
 It achieves the following results on the evaluation set:
+- Loss: 3.4144
 ## Model description
 | Training Loss | Epoch | Step  | Validation Loss |
 |:-------------:|:-----:|:-----:|:---------------:|
+| 3.631         | 1.0   | 11525 | 3.4144          |
 ### Framework versions

model.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a41442c27bf6db723cfe05a19d82cdb0d30fecf265fb84941eaee9a4b6303bf1
 size 282181632

 version https://git-lfs.github.com/spec/v1
+oid sha256:804218339dc4b730b6e87e63b830c020f8541b80b2e616cb83194e7b6de9e401
 size 282181632

runs/Nov08_16-29-26_5ea457dcb8a2/events.out.tfevents.1699460966.5ea457dcb8a2.266.0 ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:bbe3ce9f9e17dfb9c142dd4740b35d66fd181adcfb61015fa6228b921632037f
+size 5355

training_args.bin CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:10be0b4f194b73d381f41e5bb8505f054bdf8254997b9d3c7da91c5f92748c5f
 size 4600

 version https://git-lfs.github.com/spec/v1
+oid sha256:7f326df8ac997eeae672582f763989f7c557c365192558115360b929eb8ba306
 size 4600