Instructions to use marcolorenzi98/tinyllama-enron-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use marcolorenzi98/tinyllama-enron-v1 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, "marcolorenzi98/tinyllama-enron-v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e8bb10306e7df6d98041dc46c2cfd6d625b43c4573c387f27a0dca4e1c6120cf
- Size of remote file:
- 2.2 GB
- SHA256:
- 0d7cf98be673850840ebdf3623e3763f60d79f8c505ca85ef2215303bb699038
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