Instructions to use PolyakovMaxim/ModelGptTS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PolyakovMaxim/ModelGptTS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="PolyakovMaxim/ModelGptTS")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("PolyakovMaxim/ModelGptTS") model = AutoModelForCausalLM.from_pretrained("PolyakovMaxim/ModelGptTS") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use PolyakovMaxim/ModelGptTS with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "PolyakovMaxim/ModelGptTS" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "PolyakovMaxim/ModelGptTS", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/PolyakovMaxim/ModelGptTS
- SGLang
How to use PolyakovMaxim/ModelGptTS 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 "PolyakovMaxim/ModelGptTS" \ --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": "PolyakovMaxim/ModelGptTS", "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 "PolyakovMaxim/ModelGptTS" \ --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": "PolyakovMaxim/ModelGptTS", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use PolyakovMaxim/ModelGptTS with Docker Model Runner:
docker model run hf.co/PolyakovMaxim/ModelGptTS
Commit ·
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Parent(s): cfc7868
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Browse files- config.json +5 -8
- eval_results.txt +1 -1
- merges.txt +0 -0
- pytorch_model.bin +2 -2
- tokenizer_config.json +1 -1
- training_args.bin +2 -2
- vocab.json +0 -0
config.json
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"embd_pdrop": 0.1,
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"eos_token_id": 50256,
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"finetuning_task": null,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1"
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"max_length": 20,
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"min_length": 0,
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"model_type": "gpt2",
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"n_ctx":
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"n_embd": 768,
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"n_head": 12,
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"n_layer": 12,
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"n_positions":
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"num_beams": 1,
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"num_return_sequences": 1,
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"summary_proj_to_labels": true,
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"summary_type": "cls_index",
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"summary_use_proj": true,
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"task_specific_params":
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"text-generation": {
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"do_sample": true,
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"max_length": 50
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}
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},
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"temperature": 1.0,
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"top_k": 50,
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"top_p": 1.0,
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"embd_pdrop": 0.1,
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"eos_token_id": 50256,
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"finetuning_task": null,
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"gradient_checkpointing": false,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1"
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"max_length": 20,
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"min_length": 0,
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"model_type": "gpt2",
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"n_ctx": 2048,
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"n_embd": 768,
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"n_head": 12,
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"n_inner": null,
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"n_layer": 12,
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"n_positions": 2048,
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"no_repeat_ngram_size": 0,
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"num_beams": 1,
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"num_return_sequences": 1,
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"summary_proj_to_labels": true,
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"summary_type": "cls_index",
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"summary_use_proj": true,
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"task_specific_params": null,
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"temperature": 1.0,
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"top_k": 50,
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"top_p": 1.0,
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eval_results.txt
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perplexity = tensor(
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perplexity = tensor(10.0303)
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merges.txt
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pytorch_model.bin
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tokenizer_config.json
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training_args.bin
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vocab.json
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