Instructions to use Noshitha98/SaulLM-7B-AnomalyDetector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Noshitha98/SaulLM-7B-AnomalyDetector with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Equall/Saul-7B-Base") model = PeftModel.from_pretrained(base_model, "Noshitha98/SaulLM-7B-AnomalyDetector") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Noshitha98/SaulLM-7B-AnomalyDetector: direct link, hf CLI and curl.
- Browser
- Download file 3.51 MB
-
https://huggingface.co/Noshitha98/SaulLM-7B-AnomalyDetector/resolve/main/tokenizer.json
- Command line
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hf download hf://Noshitha98/SaulLM-7B-AnomalyDetector/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Noshitha98/SaulLM-7B-AnomalyDetector/resolve/main/tokenizer.json
3.51 MB
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