Instructions to use DatarrX/myX-TransStyle-W2S with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use DatarrX/myX-TransStyle-W2S with Transformers:

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

pipe = pipeline("text-generation", model="DatarrX/myX-TransStyle-W2S")

# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

tokenizer = AutoTokenizer.from_pretrained("DatarrX/myX-TransStyle-W2S")
model = AutoModelForSeq2SeqLM.from_pretrained("DatarrX/myX-TransStyle-W2S")

PEFT
How to use DatarrX/myX-TransStyle-W2S with PEFT:
```
Task type is invalid.
```
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use DatarrX/myX-TransStyle-W2S with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "DatarrX/myX-TransStyle-W2S"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "DatarrX/myX-TransStyle-W2S",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/DatarrX/myX-TransStyle-W2S

SGLang

How to use DatarrX/myX-TransStyle-W2S 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 "DatarrX/myX-TransStyle-W2S" \
    --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": "DatarrX/myX-TransStyle-W2S",
		"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 "DatarrX/myX-TransStyle-W2S" \
        --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": "DatarrX/myX-TransStyle-W2S",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use DatarrX/myX-TransStyle-W2S with Docker Model Runner:
```
docker model run hf.co/DatarrX/myX-TransStyle-W2S
```

kalixlouiis commited on Apr 26

Commit

1308b79

verified ·

1 Parent(s): dcbb5ad

Update README.md

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@@ -1,3 +1,64 @@
----
-license: mit
----

+---
+license: mit
+datasets:
+  - DatarrX/Myanmar-Written-Spoken-Parallel-Corpus
+language:
+  - my
+metrics:
+  - bleu
+  - chrf
+  - ter
+  - bertscore
+base_model:
+  - facebook/nllb-200-distilled-600M
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+  - burmese
+  - myanmar
+  - myanmar-language
+  - burmese-nlp
+  - style-transfer
+  - text-rewriting
+  - formal-to-informal
+  - written-to-spoken
+  - seq2seq
+  - nllb
+  - lora
+  - peft
+  - low-resource-language
+  - text-generation
+model-index:
+  - name: myX-TransStyle-W2S
+    results:
+      - task:
+          type: text-generation
+          name: Burmese Style Transfer (Written to Spoken)
+        dataset:
+          name: Custom External Test Set
+          type: csv
+          config: default
+          split: test
+        metrics:
+          - type: bleu
+            value: 19.6381
+            name: BLEU
+          - type: chrf
+            value: 78.3975
+            name: chrF
+          - type: ter
+            value: 50.7353
+            name: TER
+          - type: bertscore
+            value: 0.9693
+            name: BERTScore F1
+---