Downloads · 30 days
0
LlmCompiler-Stm32
Cal-mfbc5446/LlmCompiler-Stm32
LlmCompiler-Stm32 is a text generation model from Cal-mfbc5446. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as other.
This model was trained using AutoTrain. For more information, please visit AutoTrain.
Access
Public
Updated Oct 30, 2025
Repo size
160 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors160 MB · 97%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- other
- Access
- Public
- Created
- Oct 30, 2025
- Updated
- Oct 30, 2025
- SHA
- c1f5300c
Base models
Datasets
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
Usage
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)
- Task
- Text Generation
- Library
- transformers
- License
- other
- Created
- Oct 30, 2025
- Updated
- Oct 30, 2025