Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use joseph10/berttiny-hate_speech18-bothpretrained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joseph10/berttiny-hate_speech18-bothpretrained with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="joseph10/berttiny-hate_speech18-bothpretrained")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("joseph10/berttiny-hate_speech18-bothpretrained") model = AutoModelForSequenceClassification.from_pretrained("joseph10/berttiny-hate_speech18-bothpretrained", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from joseph10/berttiny-hate_speech18-bothpretrained: direct link, hf CLI and curl.
- Browser
- Download file 4.79 kB
-
https://huggingface.co/joseph10/berttiny-hate_speech18-bothpretrained/resolve/main/training_args.bin
- Command line
-
hf download hf://joseph10/berttiny-hate_speech18-bothpretrained/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/joseph10/berttiny-hate_speech18-bothpretrained/resolve/main/training_args.bin
4.79 kB
- Xet hash:
- 37931c14b2810b909ed49acd43ca9ebbdbf92cb2640ce20ec1216131db72fcfe
- Size of remote file:
- 4.79 kB
- SHA256:
- c7feee46718e532b8821451b2812ab76328e8999c6e529e9fc851f106afe4c02
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