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")# pip install -U transformers accelerate # 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
Download tokenizer.json from Jayveersinh-Raj/sinhala_hatespeech_extension: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/Jayveersinh-Raj/sinhala_hatespeech_extension/resolve/main/tokenizer.json
- Command line
-
hf download hf://Jayveersinh-Raj/sinhala_hatespeech_extension/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Jayveersinh-Raj/sinhala_hatespeech_extension/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- db7e592c9370d0df751db2f5ea9398433c6715cb521029abdf62a4b114c5c6c1
- Size of remote file:
- 17.1 MB
- SHA256:
- 9a21b3894eabf7551e96a5b2d70ffd4253b75aaa7bbdf0c572a9360e60cf0450
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