Instructions to use aduncan94/EnhancAR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aduncan94/EnhancAR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="aduncan94/EnhancAR")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("aduncan94/EnhancAR") model = AutoModelForCausalLM.from_pretrained("aduncan94/EnhancAR") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use aduncan94/EnhancAR with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "aduncan94/EnhancAR" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "aduncan94/EnhancAR", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/aduncan94/EnhancAR
- SGLang
How to use aduncan94/EnhancAR 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 "aduncan94/EnhancAR" \ --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": "aduncan94/EnhancAR", "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 "aduncan94/EnhancAR" \ --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": "aduncan94/EnhancAR", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use aduncan94/EnhancAR with Docker Model Runner:
docker model run hf.co/aduncan94/EnhancAR
Upload folder using huggingface_hub
Browse files- special_tokens_map.json +0 -7
- tokenizer_config.json +8 -17
- tokenizers.py +2 -5
special_tokens_map.json
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"rstrip": false,
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"single_word": false
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},
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"mask_token": {
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"content": "#",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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"pad_token": {
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"content": "!",
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"lstrip": false,
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"rstrip": false,
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"single_word": false
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"pad_token": {
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"content": "!",
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"lstrip": false,
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tokenizer_config.json
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{
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"added_tokens_decoder": {
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"
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"content": "
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"28": {
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"content": "#",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"
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"content": "
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"bos_token": "@",
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"clean_up_tokenization_spaces": true,
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"eos_token": "*",
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"mask_token": "#",
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"model_max_length": 2048,
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"pad_token": "!",
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"sep_token": "/",
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{
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"added_tokens_decoder": {
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"6": {
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"content": "!",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"7": {
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"content": "*",
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"lstrip": false,
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"normalized": true,
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"single_word": false,
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"special": true
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"content": "@",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"bos_token": "@",
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"clean_up_tokenization_spaces": true,
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"eos_token": "*",
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"model_max_length": 2048,
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"pad_token": "!",
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"sep_token": "/",
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tokenizers.py
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from typing import List, Optional, Union
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import os
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MASK = "#"
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MSA_PAD = "!"
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UL_ALPHABET_PLUS = "GATCN-*#@!/[]{}"
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MSA_AAS = "GATCN-"
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GAP = "-"
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START = "@"
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dna_alphabet: str = UL_ALPHABET_PLUS,
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model_max_length: int = 2048,
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pad_token=MSA_PAD,
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mask_token=MASK,
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all_aas=MSA_AAS,
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gap_token=GAP,
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bos_token=START,
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bos_token = AddedToken(bos_token, lstrip=False, rstrip=False) if isinstance(bos_token, str) else bos_token
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eos_token = AddedToken(eos_token, lstrip=False, rstrip=False) if isinstance(eos_token, str) else eos_token
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sep_token = AddedToken(sep_token, lstrip=False, rstrip=False) if isinstance(sep_token, str) else sep_token
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mask_token = AddedToken(mask_token, lstrip=False, rstrip=False) if isinstance(mask_token, str) else mask_token
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pad_token = AddedToken(pad_token, lstrip=False, rstrip=False) if isinstance(pad_token, str) else pad_token
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gap_token = AddedToken(gap_token, lstrip=False, rstrip=False) if isinstance(gap_token, str) else gap_token
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super().__init__(
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pad_token=pad_token,
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mask_token=mask_token,
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eos_token=eos_token,
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bos_token=bos_token,
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sep_token=sep_token,
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from typing import List, Optional, Union
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import os
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MSA_PAD = "!"
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#UL_ALPHABET_PLUS = "GATCN-*#@!/[]{}"
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UL_ALPHABET_PLUS = 'GATCN-!*/@[]{}'
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MSA_AAS = "GATCN-"
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GAP = "-"
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START = "@"
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dna_alphabet: str = UL_ALPHABET_PLUS,
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model_max_length: int = 2048,
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pad_token=MSA_PAD,
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all_aas=MSA_AAS,
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gap_token=GAP,
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bos_token=START,
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bos_token = AddedToken(bos_token, lstrip=False, rstrip=False) if isinstance(bos_token, str) else bos_token
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eos_token = AddedToken(eos_token, lstrip=False, rstrip=False) if isinstance(eos_token, str) else eos_token
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sep_token = AddedToken(sep_token, lstrip=False, rstrip=False) if isinstance(sep_token, str) else sep_token
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pad_token = AddedToken(pad_token, lstrip=False, rstrip=False) if isinstance(pad_token, str) else pad_token
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gap_token = AddedToken(gap_token, lstrip=False, rstrip=False) if isinstance(gap_token, str) else gap_token
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super().__init__(
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pad_token=pad_token,
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eos_token=eos_token,
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bos_token=bos_token,
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sep_token=sep_token,
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