Instructions to use zeronamoni/TMFT-adv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use zeronamoni/TMFT-adv with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("EleutherAI/pythia-160m") model = PeftModel.from_pretrained(base_model, "zeronamoni/TMFT-adv") - Notebooks
- Google Colab
- Kaggle
Upload project/requirements.txt with huggingface_hub
Browse files- project/requirements.txt +20 -0
project/requirements.txt
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accelerate==0.31.0
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datasets==2.20.0
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evaluate
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huggingface_hub==0.23.4
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ipykernel
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matplotlib
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nltk
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numpy
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pandas
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peft==0.11.1
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presidio-analyzer
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presidio-anonymizer
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pyyaml
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regex
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scikit-learn
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seaborn
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spacy
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tokenizers==0.19.1
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tqdm
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transformers==4.41.2
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