LLM-CLEM/Charlotte-alignement
Viewer • Updated • 12 • 5
How to use Clemylia/Charlotte-Test-aligne-ONNX with Transformers.js:
// npm i @huggingface/transformers
import { pipeline } from '@huggingface/transformers';
// Allocate pipeline
const pipe = await pipeline('text-generation', 'Clemylia/Charlotte-Test-aligne-ONNX');This is an ONNX version of LLM-CLEM/Charlotte-Test-aligne. It was automatically converted and uploaded using this Hugging Face Space.
See the pipeline documentation for text-generation: https://huggingface.co/docs/transformers.js/api/pipelines#module_pipelines.TextGenerationPipeline
This model was trained using AutoTrain. For more information, please visit AutoTrain.
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_path)
model = AutoModelForCausalLM.from_pretrained(
model_path,
device_map="auto",
torch_dtype='auto'
).eval()
# Prompt content: "hi"
messages = [
{"role": "user", "content": "hi"}
]
input_ids = tokenizer.apply_chat_template(conversation=messages, tokenize=True, add_generation_prompt=True, return_tensors='pt')
output_ids = model.generate(input_ids.to('cuda'))
response = tokenizer.decode(output_ids[0][input_ids.shape[1]:], skip_special_tokens=True)
# Model response: "Hello! How can I assist you today?"
print(response)
Base model
Finisha-F-scratch/Charlotte-amity