Instructions to use MetR-Metapercept/tinyllama-dita-analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MetR-Metapercept/tinyllama-dita-analysis 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, "MetR-Metapercept/tinyllama-dita-analysis") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from MetR-Metapercept/tinyllama-dita-analysis: direct link, hf CLI and curl.
- Browser
- Download file 18.1 MB
-
https://huggingface.co/MetR-Metapercept/tinyllama-dita-analysis/resolve/main/adapter_model.bin
- Command line
-
hf download hf://MetR-Metapercept/tinyllama-dita-analysis/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/MetR-Metapercept/tinyllama-dita-analysis/resolve/main/adapter_model.bin
18.1 MB
- Xet hash:
- 5cec2c49722e96af1207d394a6997a26a3a6589047da91891cef7f11a0fe9b08
- Size of remote file:
- 18.1 MB
- SHA256:
- 580c29c8332ed3675f2e2f6bcb8a6e6d76466e69d5501642d1a0b8408bf92d45
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