Instructions to use locht131/m-e5-toxic-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use locht131/m-e5-toxic-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="locht131/m-e5-toxic-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("locht131/m-e5-toxic-classification") model = AutoModelForSequenceClassification.from_pretrained("locht131/m-e5-toxic-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from locht131/m-e5-toxic-classification: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/locht131/m-e5-toxic-classification/resolve/main/training_args.bin
- Command line
-
hf download hf://locht131/m-e5-toxic-classification/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/locht131/m-e5-toxic-classification/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- 94021e0fe4dc8a1cdc7522acc9d41e640620b65a9cbc1d3daf78fa3281002576
- Size of remote file:
- 5.05 kB
- SHA256:
- e30857065e335c393db9bded7730bb0a5e34b2670395353af84a2e23bce98fcc
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