Rauma โ
Collection
Modeling the Rauma dialect of the Finnish language ๐ซ๐ฎ โข 5 items โข Updated
How to use codymd/rauma-gpt-XL with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-generation", model="codymd/rauma-gpt-XL") # Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("codymd/rauma-gpt-XL")
model = AutoModelForCausalLM.from_pretrained("codymd/rauma-gpt-XL")How to use codymd/rauma-gpt-XL with vLLM:
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "codymd/rauma-gpt-XL"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "codymd/rauma-gpt-XL",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'docker model run hf.co/codymd/rauma-gpt-XL
How to use codymd/rauma-gpt-XL with SGLang:
# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
--model-path "codymd/rauma-gpt-XL" \
--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": "codymd/rauma-gpt-XL",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'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 "codymd/rauma-gpt-XL" \
--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": "codymd/rauma-gpt-XL",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'How to use codymd/rauma-gpt-XL with Docker Model Runner:
docker model run hf.co/codymd/rauma-gpt-XL
This model is a fine-tuned version of TurkuNLP/gpt3-finnish-XL on an unknown dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.9518 | 1.0 | 734 | 3.2457 |
| 2.9124 | 2.0 | 1468 | 2.7488 |
| 1.5108 | 3.0 | 2202 | 2.5589 |