Instructions to use aks1s/07Taptap1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aks1s/07Taptap1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="aks1s/07Taptap1")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("aks1s/07Taptap1") model = AutoModelForCausalLM.from_pretrained("aks1s/07Taptap1") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use aks1s/07Taptap1 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "aks1s/07Taptap1" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "aks1s/07Taptap1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/aks1s/07Taptap1
- SGLang
How to use aks1s/07Taptap1 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 "aks1s/07Taptap1" \ --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": "aks1s/07Taptap1", "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 "aks1s/07Taptap1" \ --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": "aks1s/07Taptap1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use aks1s/07Taptap1 with Docker Model Runner:
docker model run hf.co/aks1s/07Taptap1
| { | |
| "additional_special_tokens": [ | |
| "<|reg_extra|>", | |
| "<|endoftext|>", | |
| "<|fim_prefix|>", | |
| "<|fim_middle|>", | |
| "<|fim_suffix|>", | |
| "<|fim_pad|>", | |
| "<gh_stars>", | |
| "<filename>", | |
| "<issue_start>", | |
| "<issue_comment>", | |
| "<issue_closed>", | |
| "<jupyter_start>", | |
| "<jupyter_text>", | |
| "<jupyter_code>", | |
| "<jupyter_output>", | |
| "<empty_output>", | |
| "<commit_before>", | |
| "<commit_msg>", | |
| "<commit_after>", | |
| "<reponame>", | |
| "<|endofprompt|>", | |
| "<|im_start|>", | |
| "<|im_end|>", | |
| "<|pause|>", | |
| "<|reg0|>", | |
| "<|reg1|>", | |
| "<|reg2|>", | |
| "<|reg3|>", | |
| "<|reg4|>", | |
| "<|reg5|>", | |
| "<|reg6|>", | |
| "<|reg7|>", | |
| "<|extra0|>" | |
| ], | |
| "bos_token": { | |
| "content": "<|endoftext|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "eos_token": { | |
| "content": "<|endoftext|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": { | |
| "content": "<|endoftext|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "unk_token": { | |
| "content": "<|endoftext|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |