Instructions to use thahseerck/new_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thahseerck/new_model with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v1.0") model = PeftModel.from_pretrained(base_model, "thahseerck/new_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fbeab9397f93529883ca089555869259a1f2b7969b4e0aae5b4c28927e3090ab
- Size of remote file:
- 4.54 MB
- SHA256:
- 53aacfaaa59cca2eebba19a02eee0a6bf89bdb8087933557ae70467d17a0f414
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