Instructions to use charmander-33/opt-66b-0.8x-eigenattn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use charmander-33/opt-66b-0.8x-eigenattn with Transformers:
# Load model directly from transformers import AutoTokenizer, OPTForCausalLM_EigenAttn tokenizer = AutoTokenizer.from_pretrained("charmander-33/opt-66b-0.8x-eigenattn") model = OPTForCausalLM_EigenAttn.from_pretrained("charmander-33/opt-66b-0.8x-eigenattn") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- 1.52 kB
- 759 Bytes
- 132 Bytes
- 1.73 kB xet
- 456 kB
- 4.85 GB xet
- 4.93 GB xet
- 4.33 GB xet
- 4.39 GB xet
- 4.92 GB xet
- 4.34 GB xet
- 4.73 GB xet
- 4.97 GB xet
- 4.6 GB xet
- 4.9 GB xet
- 4.79 GB xet
- 4.87 GB xet
- 4.59 GB xet
- 4.76 GB xet
- 4.93 GB xet
- 4.59 GB xet
- 4.76 GB xet
- 4.93 GB xet
- 4.59 GB xet
- 4.76 GB xet
- 4.93 GB xet
- 4.59 GB xet
- 4.76 GB xet
- 4.93 GB xet
- 4.53 GB xet
- 4.69 GB xet
- 680 MB xet
- 91.8 kB
- 548 Bytes
- 2.11 MB
- 688 Bytes
- 798 kB