How to use from
vLLM
Install from pip and serve model
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "reshinthadith/BashGPTNeo"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "reshinthadith/BashGPTNeo",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'
Use Docker
docker model run hf.co/reshinthadith/BashGPTNeo
Quick Links

YAML Metadata Error:"language[0]" must only contain lowercase characters

YAML Metadata Error:"language[0]" with value "English" is not valid. It must be an ISO 639-1, 639-2 or 639-3 code (two/three letters), or a special value like "code", "multilingual". If you want to use BCP-47 identifiers, you can specify them in language_bcp47.

YAML Metadata Error:"language[1]" must only contain lowercase characters

YAML Metadata Error:"language[1]" with value "Bash" is not valid. It must be an ISO 639-1, 639-2 or 639-3 code (two/three letters), or a special value like "code", "multilingual". If you want to use BCP-47 identifiers, you can specify them in language_bcp47.

BashGPT-Neo

What is it ?

BashGPT-Neo is a Neural Program Synthesis Model for Bash Commands and Shell Scripts. Trained on the data provided by NLC2CMD. It is fine-tuned version of GPTNeo-125M by EleutherAI.

Usage

from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("reshinthadith/BashGPTNeo")
model = AutoModelForCausalLM.from_pretrained("reshinthadith/BashGPTNeo")

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