Instructions to use dobbytk/letr-sol-profanity-filter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dobbytk/letr-sol-profanity-filter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dobbytk/letr-sol-profanity-filter")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dobbytk/letr-sol-profanity-filter") model = AutoModelForSequenceClassification.from_pretrained("dobbytk/letr-sol-profanity-filter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from dobbytk/letr-sol-profanity-filter: direct link, hf CLI and curl.
- Browser
- Download file 436 MB
-
https://huggingface.co/dobbytk/letr-sol-profanity-filter/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://dobbytk/letr-sol-profanity-filter@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/dobbytk/letr-sol-profanity-filter/resolve/refs%2Fpr%2F1/pytorch_model.bin
436 MB
- Xet hash:
- 7040252e4be4eac621dcfb3f0cb55e66e3607ea5f2b836fbf5929c935f1f4854
- Size of remote file:
- 436 MB
- SHA256:
- e79bd638d41e2bcbe24f99be0862dfc7e8b62aa383b0637e8e5f967365fcdc3e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.