Instructions to use av-codes/Supra-50M-Instruct-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use av-codes/Supra-50M-Instruct-ONNX with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-generation', 'av-codes/Supra-50M-Instruct-ONNX');
File size: 757 Bytes
21bdbd9 | 1 2 3 4 5 6 7 8 9 10 | {
"bos_token": "<s>",
"eos_token": "</s>",
"model_max_length": 1024,
"pad_token": "<pad>",
"tokenizer_class": "LlamaTokenizer",
"unk_token": "<unk>",
"chat_template": "{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% set loop_messages = messages[1:] %}{% else %}{% set system_message = '' %}{% set loop_messages = messages %}{% endif %}Below is an instruction that describes a task. Write a response that appropriately completes the request.\n\n{% for message in loop_messages %}{% if message['role'] == 'user' %}### Instruction:\n{{ message['content'] }}\n\n{% elif message['role'] == 'assistant' %}### Response:\n{{ message['content'] }}{{ eos_token }}\n\n{% endif %}{% endfor %}### Response:\n"
}
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