Instructions to use iestynmullinor/entailment_classification_llama2_13b_fever with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use iestynmullinor/entailment_classification_llama2_13b_fever with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-13b-hf") model = PeftModel.from_pretrained(base_model, "iestynmullinor/entailment_classification_llama2_13b_fever") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3671863c9dc6e233f2eb604536ea62e7bdf30524835ea4fffd2d652d221a6054
- Size of remote file:
- 2.31 GB
- SHA256:
- 91d2584810f614a89579706042eaff55b9acfb3fce0fad2ea4cbae4747630689
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