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
File size: 313 Bytes
560c978 39bce40 560c978 39bce40 560c978 39bce40 560c978 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | ---
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
--- |