Instructions to use preethiprabha2023/debug_seq2seq_trial with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use preethiprabha2023/debug_seq2seq_trial with Transformers:

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

pipe = pipeline("text-generation", model="preethiprabha2023/debug_seq2seq_trial")

# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

tokenizer = AutoTokenizer.from_pretrained("preethiprabha2023/debug_seq2seq_trial")
model = AutoModelForSeq2SeqLM.from_pretrained("preethiprabha2023/debug_seq2seq_trial")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use preethiprabha2023/debug_seq2seq_trial with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "preethiprabha2023/debug_seq2seq_trial"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "preethiprabha2023/debug_seq2seq_trial",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/preethiprabha2023/debug_seq2seq_trial

SGLang

How to use preethiprabha2023/debug_seq2seq_trial 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 "preethiprabha2023/debug_seq2seq_trial" \
    --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": "preethiprabha2023/debug_seq2seq_trial",
		"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 "preethiprabha2023/debug_seq2seq_trial" \
        --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": "preethiprabha2023/debug_seq2seq_trial",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use preethiprabha2023/debug_seq2seq_trial with Docker Model Runner:
```
docker model run hf.co/preethiprabha2023/debug_seq2seq_trial
```

preethiprabha2023 commited on Feb 21, 2024

Commit

30f3b1e

verified ·

1 Parent(s): 8dadacf

Update README.md

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README.md +4 -3

README.md CHANGED Viewed

@@ -11,10 +11,11 @@ model-index:
 language:
 - ta
 metrics:
-- accuracy
-- f1
-- exact_match
 pipeline_tag: text2text-generation
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You

 language:
 - ta
 metrics:
 pipeline_tag: text2text-generation
+widget:
+  - text : வெறுப்பு, காழ்ப்பு, கசப்பு, மனசகப்பு, எரிச்சல்.
+    context : துக்கம், இழப்பு, கவலை முதலியவற்றால் தன் மேல் ஏற்படும் வெறுப்பு.
+    example_title : Feelings
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You