Instructions to use Jayveersinh-Raj/sinhala_hatespeech_extension with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jayveersinh-Raj/sinhala_hatespeech_extension with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jayveersinh-Raj/sinhala_hatespeech_extension")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jayveersinh-Raj/sinhala_hatespeech_extension") model = AutoModelForSequenceClassification.from_pretrained("Jayveersinh-Raj/sinhala_hatespeech_extension", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4067d219fa3a55eafccaa6a53337288d14745765dd6d7f38fd3cd6f29b747254
- Size of remote file:
- 1.11 GB
- SHA256:
- 48f32071ed505f7f8e044810fc5feb4371d918a688a6819ee1964fae43f86ad3
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