Instructions to use GabSo/santacoder-finetuned-the-stack-bash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use GabSo/santacoder-finetuned-the-stack-bash with Transformers:

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

pipe = pipeline("text-generation", model="GabSo/santacoder-finetuned-the-stack-bash", trust_remote_code=True)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("GabSo/santacoder-finetuned-the-stack-bash", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("GabSo/santacoder-finetuned-the-stack-bash", trust_remote_code=True)

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use GabSo/santacoder-finetuned-the-stack-bash with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "GabSo/santacoder-finetuned-the-stack-bash"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "GabSo/santacoder-finetuned-the-stack-bash",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/GabSo/santacoder-finetuned-the-stack-bash

SGLang

How to use GabSo/santacoder-finetuned-the-stack-bash 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 "GabSo/santacoder-finetuned-the-stack-bash" \
    --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": "GabSo/santacoder-finetuned-the-stack-bash",
		"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 "GabSo/santacoder-finetuned-the-stack-bash" \
        --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": "GabSo/santacoder-finetuned-the-stack-bash",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use GabSo/santacoder-finetuned-the-stack-bash with Docker Model Runner:
```
docker model run hf.co/GabSo/santacoder-finetuned-the-stack-bash
```

GabSo commited on Sep 15, 2023

Commit

009aa98

1 Parent(s): 8cc51b0

Upload tokenizer

Browse files

Files changed (6) hide show

added_tokens.json +7 -0
merges.txt +0 -0
special_tokens_map.json +12 -0
tokenizer.json +0 -0
tokenizer_config.json +10 -0
vocab.json +0 -0

added_tokens.json ADDED Viewed

	@@ -0,0 +1,7 @@

+{
+  "<fim-middle>": 49154,
+  "<fim-pad>": 49156,
+  "<fim-prefix>": 49153,
+  "<fim-suffix>": 49155,
+  "<|endoftext|>": 49152
+}

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special_tokens_map.json ADDED Viewed

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+{
+  "additional_special_tokens": [
+    "<|endoftext|>",
+    "<fim-prefix>",
+    "<fim-middle>",
+    "<fim-suffix>",
+    "<fim-pad>"
+  ],
+  "bos_token": "<|endoftext|>",
+  "eos_token": "<|endoftext|>",
+  "unk_token": "<|endoftext|>"
+}

tokenizer.json ADDED Viewed

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tokenizer_config.json ADDED Viewed

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+{
+  "add_prefix_space": false,
+  "bos_token": "<|endoftext|>",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "model_max_length": 2048,
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>"
+}

vocab.json ADDED Viewed

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