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:
- d2d031cdc7e3403eaf6af11313a493bcb7bdf5dd690d4cbcfbc1bdaaa0e21d11
- Size of remote file:
- 3.84 kB
- SHA256:
- 7334bf297c444e89037c1bebd5b8be2798c176e03cbb7c787cc721c32cb1e0b3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.