Instructions to use ana-grassmann/bert-finetuned-spam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ana-grassmann/bert-finetuned-spam with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("google-bert/bert-base-uncased") model = PeftModel.from_pretrained(base_model, "ana-grassmann/bert-finetuned-spam") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ana-grassmann/bert-finetuned-spam: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/ana-grassmann/bert-finetuned-spam/resolve/main/training_args.bin
- Command line
-
hf download hf://ana-grassmann/bert-finetuned-spam/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ana-grassmann/bert-finetuned-spam/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 1375322405aef55cec429d306ddfcbd87bcc9681e63fd769696ce3904957da83
- Size of remote file:
- 5.11 kB
- SHA256:
- 0667c88ae78b0ff21ca886cf5cb5506181a64339cf0ddb16ee39af67f20d2bb1
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