Instructions to use peft-internal-testing/OFT-tiny-random-OPTForCausalLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use peft-internal-testing/OFT-tiny-random-OPTForCausalLM with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("peft-internal-testing/OFT-tiny-random-OPTForCausalLM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| library_name: transformers | |
| tags: [] | |
| # OFT model for PEFT testing purposes | |
| Use PEFT version 0.12.0. | |
| ```python | |
| from transformers import AutoModelForCausalLM | |
| from peft import OFTConfig, get_peft_model | |
| model_id = "hf-internal-testing/tiny-random-OPTForCausalLM" | |
| model = AutoModelForCausalLM.from_pretrained(model_id) | |
| config = OFTConfig(init_weights=False, target_modules="all-linear") | |
| model = get_peft_model(model, config) | |
| hub_id = "peft-internal-testing/OFT-tiny-random-OPTForCausalLM" | |
| model.push_to_hub(hub_id, token=...) | |
| ``` |