Instructions to use TransferGraph/cointegrated_roberta-base-formality-finetuned-lora-tweet_eval_hate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TransferGraph/cointegrated_roberta-base-formality-finetuned-lora-tweet_eval_hate with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("cointegrated/roberta-base-formality") model = PeftModel.from_pretrained(base_model, "TransferGraph/cointegrated_roberta-base-formality-finetuned-lora-tweet_eval_hate") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from TransferGraph/cointegrated_roberta-base-formality-finetuned-lora-tweet_eval_hate: direct link, hf CLI and curl.
- Browser
- Download file 2.52 MB
-
https://huggingface.co/TransferGraph/cointegrated_roberta-base-formality-finetuned-lora-tweet_eval_hate/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://TransferGraph/cointegrated_roberta-base-formality-finetuned-lora-tweet_eval_hate/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/TransferGraph/cointegrated_roberta-base-formality-finetuned-lora-tweet_eval_hate/resolve/main/adapter_model.safetensors
2.52 MB
- Xet hash:
- 03fba8389bab38e2647f8f6ac965088d3528c1b4a2a87b94ea2b6e3aac28f192
- Size of remote file:
- 2.52 MB
- SHA256:
- b223028c4b49f83944cd6858ff2708c61216f081f998d1a1722b93761b782115
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