Instructions to use bugdaryan/Code-Llama-2-13B-instruct-text2sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use bugdaryan/Code-Llama-2-13B-instruct-text2sql with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="bugdaryan/Code-Llama-2-13B-instruct-text2sql")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("bugdaryan/Code-Llama-2-13B-instruct-text2sql")
model = AutoModelForCausalLM.from_pretrained("bugdaryan/Code-Llama-2-13B-instruct-text2sql")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use bugdaryan/Code-Llama-2-13B-instruct-text2sql with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "bugdaryan/Code-Llama-2-13B-instruct-text2sql"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "bugdaryan/Code-Llama-2-13B-instruct-text2sql",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/bugdaryan/Code-Llama-2-13B-instruct-text2sql

SGLang

How to use bugdaryan/Code-Llama-2-13B-instruct-text2sql 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 "bugdaryan/Code-Llama-2-13B-instruct-text2sql" \
    --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": "bugdaryan/Code-Llama-2-13B-instruct-text2sql",
		"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 "bugdaryan/Code-Llama-2-13B-instruct-text2sql" \
        --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": "bugdaryan/Code-Llama-2-13B-instruct-text2sql",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use bugdaryan/Code-Llama-2-13B-instruct-text2sql with Docker Model Runner:
```
docker model run hf.co/bugdaryan/Code-Llama-2-13B-instruct-text2sql
```

Unable to load tokenizer

by ssumitk14 - opened Oct 26, 2023

Discussion

ssumitk14

Oct 26, 2023

While loading the model using the provided code, I'm getting the following error.

tniccum21

Oct 27, 2023

Won't load in Oobabooga... Seems to be related to the tokenizer also.

2023-10-27 09:05:11 ERROR:Failed to load the model.
Traceback (most recent call last):
File "/media/x/NV0/text-generation-webui-main/modules/ui_model_menu.py", line 201, in load_model_wrapper
shared.model, shared.tokenizer = load_model(shared.model_name, loader)
File "/media/x/NV0/text-generation-webui-main/modules/models.py", line 87, in load_model
tokenizer = load_tokenizer(model_name, model)
File "/media/x/NV0/text-generation-webui-main/modules/models.py", line 106, in load_tokenizer
tokenizer = AutoTokenizer.from_pretrained(
File "/home/x/anaconda3/envs/textgen/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py", line 751, in from_pretrained
return tokenizer_class.from_pretrained(pretrained_model_name_or_path, *inputs, **kwargs)
File "/home/x/anaconda3/envs/textgen/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 2017, in from_pretrained
return cls._from_pretrained(
File "/home/x/anaconda3/envs/textgen/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 2249, in _from_pretrained
tokenizer = cls(*init_inputs, **init_kwargs)
File "/home/x/anaconda3/envs/textgen/lib/python3.10/site-packages/transformers/models/code_llama/tokenization_code_llama.py", line 163, in init
self.sp_model = self.get_spm_processor()
File "/home/x/anaconda3/envs/textgen/lib/python3.10/site-packages/transformers/models/code_llama/tokenization_code_llama.py", line 190, in get_spm_processor
with open(self.vocab_file, "rb") as f:
TypeError: expected str, bytes or os.PathLike object, not NoneType

vedica1011

Oct 29, 2023

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