Transformers
Safetensors
English
Hindi
mpt
text-generation
text2json
text2code
AutoCAD
CAD
generative-design
architecture
custom_code
text-generation-inference
Instructions to use Ak015/AutoCAD_generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ak015/AutoCAD_generator with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Ak015/AutoCAD_generator", trust_remote_code=True) model = AutoModelForCausalLM.from_pretrained("Ak015/AutoCAD_generator", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| license: apache-2.0 | |
| language: | |
| - en | |
| - hi | |
| # base_model: None (trained from scratch) | |
| pipeline_tag: text2code | |
| datasets: | |
| - custom-AutoCAD-prompts-dataset | |
| metrics: | |
| - bleu | |
| - accuracy | |
| library_name: transformers | |
| tags: | |
| - text2json | |
| - text2code | |
| - AutoCAD | |
| - CAD | |
| - generative-design | |
| - architecture | |