Text Classification
Transformers
Safetensors
English
lfm2
text-generation
unsloth
classifier
shell
bash
powershell
Instructions to use tomngdev/AutoShell-350M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tomngdev/AutoShell-350M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tomngdev/AutoShell-350M")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("tomngdev/AutoShell-350M") model = AutoModelForCausalLM.from_pretrained("tomngdev/AutoShell-350M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
File size: 166 Bytes
fb102ee | 1 2 3 4 5 6 7 8 9 10 11 | {
"_from_model_config": true,
"bos_token_id": 1,
"eos_token_id": [
7
],
"max_length": 128000,
"pad_token_id": 0,
"transformers_version": "5.15.0"
}
|