Instructions to use Kyle1668/boss-toxicity-bert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kyle1668/boss-toxicity-bert-base-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Kyle1668/boss-toxicity-bert-base-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Kyle1668/boss-toxicity-bert-base-uncased") model = AutoModelForSequenceClassification.from_pretrained("Kyle1668/boss-toxicity-bert-base-uncased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ac87f040cb8de5ee2036519296835ce3ebbd000ad9b0a7818ca4780d6c4489a
- Size of remote file:
- 438 MB
- SHA256:
- 3e289dc4a8a5c4c4d918b5f4f2e7ec91f4df13da3939f45c71d1147db62b17e1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.