Text Generation
Transformers
Safetensors
Undetermined
indus-script
ancient-scripts
archaeology
nlp
sequence-modeling
grammar-analysis
undeciphered-script
Instructions to use hellosindh/indus-script-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hellosindh/indus-script-models with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="hellosindh/indus-script-models")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hellosindh/indus-script-models", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use hellosindh/indus-script-models with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "hellosindh/indus-script-models" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "hellosindh/indus-script-models", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/hellosindh/indus-script-models
- SGLang
How to use hellosindh/indus-script-models 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 "hellosindh/indus-script-models" \ --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": "hellosindh/indus-script-models", "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 "hellosindh/indus-script-models" \ --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": "hellosindh/indus-script-models", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use hellosindh/indus-script-models with Docker Model Runner:
docker model run hf.co/hellosindh/indus-script-models
File size: 697 Bytes
653f21e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 | {
"add_cross_attention": false,
"architectures": [
"BertForMaskedLM"
],
"attention_probs_dropout_prob": 0.1,
"bos_token_id": null,
"classifier_dropout": null,
"dtype": "float32",
"eos_token_id": null,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 256,
"initializer_range": 0.02,
"intermediate_size": 512,
"is_decoder": false,
"layer_norm_eps": 1e-12,
"max_position_embeddings": 64,
"model_type": "bert",
"num_attention_heads": 4,
"num_hidden_layers": 4,
"pad_token_id": 0,
"tie_word_embeddings": true,
"transformers_version": "5.2.0",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 646
}
|