Instructions to use saif-11bit/my-code-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saif-11bit/my-code-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="saif-11bit/my-code-model")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("saif-11bit/my-code-model") model = AutoModelForCausalLM.from_pretrained("saif-11bit/my-code-model") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use saif-11bit/my-code-model with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "saif-11bit/my-code-model" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "saif-11bit/my-code-model", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/saif-11bit/my-code-model
- SGLang
How to use saif-11bit/my-code-model 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 "saif-11bit/my-code-model" \ --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": "saif-11bit/my-code-model", "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 "saif-11bit/my-code-model" \ --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": "saif-11bit/my-code-model", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use saif-11bit/my-code-model with Docker Model Runner:
docker model run hf.co/saif-11bit/my-code-model
File size: 947 Bytes
fca8539 | 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 30 31 32 33 34 35 36 37 38 39 40 41 42 | {
"activation_function": "gelu_new",
"architectures": [
"CodeGenForCausalLM"
],
"attn_pdrop": 0.0,
"bos_token_id": 1,
"dtype": "float16",
"embd_pdrop": 0.0,
"eos_token_id": 50256,
"gradient_checkpointing": false,
"initializer_range": 0.02,
"layer_norm_epsilon": 1e-05,
"model_type": "codegen",
"n_ctx": 2048,
"n_embd": 1024,
"n_head": 16,
"n_inner": null,
"n_layer": 20,
"n_positions": 2048,
"resid_pdrop": 0.0,
"rotary_dim": 32,
"scale_attn_weights": true,
"summary_activation": null,
"summary_first_dropout": 0.1,
"summary_proj_to_labels": true,
"summary_type": "cls_index",
"summary_use_proj": true,
"task_specific_params": {
"text-generation": {
"do_sample": true,
"max_length": 50,
"temperature": 1.0
}
},
"tie_word_embeddings": false,
"tokenizer_class": "GPT2Tokenizer",
"transformers_version": "5.0.0",
"use_cache": true,
"vocab_size": 51200
}
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