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
- Xet hash:
- e5229852b29e040b94f475de60f2035673cf8c92aec60f646dfc2924d047a607
- Size of remote file:
- 843 MB
- SHA256:
- efc64807928f30b83ec3878a0635135e600ce80dbb0b6531bed759fddf96832e
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