Instructions to use ajain6/my_awesome_generation_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ajain6/my_awesome_generation_model with Transformers:

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

pipe = pipeline("text-generation", model="ajain6/my_awesome_generation_model")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("ajain6/my_awesome_generation_model")
model = AutoModelForCausalLM.from_pretrained("ajain6/my_awesome_generation_model")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use ajain6/my_awesome_generation_model with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ajain6/my_awesome_generation_model"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ajain6/my_awesome_generation_model",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/ajain6/my_awesome_generation_model

SGLang

How to use ajain6/my_awesome_generation_model 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 "ajain6/my_awesome_generation_model" \
    --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": "ajain6/my_awesome_generation_model",
		"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 "ajain6/my_awesome_generation_model" \
        --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": "ajain6/my_awesome_generation_model",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use ajain6/my_awesome_generation_model with Docker Model Runner:
```
docker model run hf.co/ajain6/my_awesome_generation_model
```

my_awesome_generation_model

This model is a fine-tuned version of gpt2 on the proto_qa dataset. It achieves the following results on the evaluation set:

Loss: 2.4234

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss
3.6643	0.32	20	2.8379
2.942	0.65	40	2.6090
2.7742	0.97	60	2.5426
2.6329	1.29	80	2.5053
2.5239	1.61	100	2.4791
2.5101	1.94	120	2.4521
2.4416	2.26	140	2.4436
2.3676	2.58	160	2.4405
2.3664	2.9	180	2.4280
2.2977	3.23	200	2.4291
2.2861	3.55	220	2.4216
2.2695	3.87	240	2.4213
2.1973	4.19	260	2.4208
2.1874	4.52	280	2.4216
2.2308	4.84	300	2.4229
2.18	5.16	320	2.4203
2.1711	5.48	340	2.4222
2.1402	5.81	360	2.4208
2.1064	6.13	380	2.4222
2.1189	6.45	400	2.4224
2.0666	6.77	420	2.4228
2.1272	7.1	440	2.4226
2.0448	7.42	460	2.4226
2.123	7.74	480	2.4234

Framework versions

Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Downloads last month: 2

Safetensors

Model size

0.1B params

Tensor type

F32

Model tree for ajain6/my_awesome_generation_model

Base model

openai-community/gpt2

Finetuned

(2184)

this model

ajain6
/

my_awesome_generation_model

my_awesome_generation_model

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Model tree for ajain6/my_awesome_generation_model

Dataset used to train ajain6/my_awesome_generation_model