Instructions to use TransferGraph/heranm_finetuning-sentiment-model-3000-samples-finetuned-lora-tweet_eval_irony with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TransferGraph/heranm_finetuning-sentiment-model-3000-samples-finetuned-lora-tweet_eval_irony with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("heranm/finetuning-sentiment-model-3000-samples") model = PeftModel.from_pretrained(base_model, "TransferGraph/heranm_finetuning-sentiment-model-3000-samples-finetuned-lora-tweet_eval_irony") - Notebooks
- Google Colab
- Kaggle
heranm_finetuning-sentiment-model-3000-samples-finetuned-lora-tweet_eval_irony / adapter_model.safetensors
- Xet hash:
- 330ce9a959bc1304b5bd7e4fb57e6a5a3f486c078c3a344ba41f8cad493bbece
- Size of remote file:
- 2.45 MB
- SHA256:
- 859b5696eb9fc1ea40b8ae3adbc68e26f37b74e6771dd07e918ea49bc777c0e8
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