Text Generation
Transformers
PyTorch
Safetensors
Spanish
gpt2
Generated from Trainer
text-generation-inference
Instructions to use Zagusan/Wikibot-3001 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Zagusan/Wikibot-3001 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Zagusan/Wikibot-3001")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Zagusan/Wikibot-3001") model = AutoModelForCausalLM.from_pretrained("Zagusan/Wikibot-3001", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Zagusan/Wikibot-3001 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Zagusan/Wikibot-3001" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Zagusan/Wikibot-3001", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Zagusan/Wikibot-3001
- SGLang
How to use Zagusan/Wikibot-3001 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 "Zagusan/Wikibot-3001" \ --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": "Zagusan/Wikibot-3001", "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 "Zagusan/Wikibot-3001" \ --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": "Zagusan/Wikibot-3001", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Zagusan/Wikibot-3001 with Docker Model Runner:
docker model run hf.co/Zagusan/Wikibot-3001
Wikibot-3001
This model is a fine-tuned version of gpt2 on the mapama247/wikihow_es dataset. It achieves the following results on the evaluation set:
- Loss: 1.9422
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: 32
- seed: 42
- distributed_type: tpu
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.7432 | 1.0 | 5950 | 2.6109 |
| 2.3556 | 2.0 | 11900 | 2.3059 |
| 2.1872 | 3.0 | 17850 | 2.1738 |
| 2.0891 | 4.0 | 23800 | 2.0990 |
| 2.0306 | 5.0 | 29750 | 2.0579 |
| 1.9975 | 6.0 | 35700 | 2.0395 |
| 1.9909 | 7.0 | 5950 | 2.0208 |
| 1.8924 | 8.0 | 11900 | 1.9678 |
| 1.8281 | 9.0 | 17850 | 1.9422 |
| 1.8376 | 10.0 | 5950 | 1.9576 |
| 1.7802 | 11.0 | 11900 | 1.9212 |
| 1.7465 | 12.0 | 17850 | 1.8996 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
- Downloads last month
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