Instructions to use textattack/xlnet-base-cased-MRPC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use textattack/xlnet-base-cased-MRPC with Transformers:

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

pipe = pipeline("text-generation", model="textattack/xlnet-base-cased-MRPC")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("textattack/xlnet-base-cased-MRPC")
model = AutoModelForCausalLM.from_pretrained("textattack/xlnet-base-cased-MRPC", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use textattack/xlnet-base-cased-MRPC with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/textattack/xlnet-base-cased-MRPC

SGLang

How to use textattack/xlnet-base-cased-MRPC 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 "textattack/xlnet-base-cased-MRPC" \
    --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": "textattack/xlnet-base-cased-MRPC",
		"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 "textattack/xlnet-base-cased-MRPC" \
        --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": "textattack/xlnet-base-cased-MRPC",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use textattack/xlnet-base-cased-MRPC with Docker Model Runner:
```
docker model run hf.co/textattack/xlnet-base-cased-MRPC
```

xlnet-base-cased-MRPC

Commit History

Jul 6, 2020

16:30
Update special_tokens_map.json

system HF Staff

8efd034
16:30
Update tokenizer_config.json

system HF Staff

325ffdc
16:30
Update config.json

system HF Staff

8d5c594
16:30
Update log.txt

system HF Staff

86ac8c6
16:30
Update train_args.json

system HF Staff

819f9a7
16:30
Update README.md

system HF Staff

84b5e3d
16:30
Update pytorch_model.bin

system HF Staff

80660e4
16:30
Update spiece.model

system HF Staff

aa085ca

Jun 9, 2020

16:55
Update config.json

system HF Staff

f3826ab
16:55
Update spiece.model

system HF Staff

c3077ed
16:55
Update eval_results_mrpc.txt

system HF Staff

9464ea2
16:55
Update special_tokens_map.json

system HF Staff

e1277e4
16:55
Update tokenizer_config.json

system HF Staff

91d5890
16:55
Update training_args.bin

system HF Staff

4425c9e

Jun 8, 2020

14:22
Update config.json

system HF Staff

5a4bf35
14:22
Update spiece.model

system HF Staff

0d78e89
14:21
Update eval_results_mrpc.txt

system HF Staff

0c39953
14:21
Update special_tokens_map.json

system HF Staff

99df43a
14:21
Update tokenizer_config.json

system HF Staff

a53ee4c
14:21
initial commit

system HF Staff

1462115

Commit History

Jul 6, 2020

Update special_tokens_map.json

Update tokenizer_config.json

Update config.json

Update log.txt

Update train_args.json

Update README.md

Update pytorch_model.bin

Update spiece.model

Jun 9, 2020

Update config.json

Update spiece.model

Update eval_results_mrpc.txt

Update special_tokens_map.json

Update tokenizer_config.json

Update training_args.bin

Jun 8, 2020

Update config.json

Update spiece.model

Update eval_results_mrpc.txt

Update special_tokens_map.json

Update tokenizer_config.json

initial commit