PEFT
Safetensors
cybersecurity
federated-learning
security
lora
threat-intelligence
incident-response
Instructions to use dsuyu1/FedDAPT-security-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dsuyu1/FedDAPT-security-v1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1") model = PeftModel.from_pretrained(base_model, "dsuyu1/FedDAPT-security-v1") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from dsuyu1/FedDAPT-security-v1: direct link, hf CLI and curl.
- Browser
- Download file 3.51 MB
-
https://huggingface.co/dsuyu1/FedDAPT-security-v1/resolve/main/tokenizer.json
- Command line
-
hf download hf://dsuyu1/FedDAPT-security-v1/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/dsuyu1/FedDAPT-security-v1/resolve/main/tokenizer.json
3.51 MB
File too large to display, you can check the raw version instead.