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:
- 0b6fa77517284dc3bec9b23067ad5e887f57986f695305a9a403c806929f0bfc
- Size of remote file:
- 18 MB
- SHA256:
- 18f9582e1d2dbbbe2050fde2046ae979f8b3a8c7eb268c28c3a7aa29644a337c
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