Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use GioReg/BertMultiHateSpeech with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GioReg/BertMultiHateSpeech with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="GioReg/BertMultiHateSpeech")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("GioReg/BertMultiHateSpeech") model = AutoModelForSequenceClassification.from_pretrained("GioReg/BertMultiHateSpeech", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from GioReg/BertMultiHateSpeech: direct link, hf CLI and curl.
- Browser
- Download file 3.06 kB
-
https://huggingface.co/GioReg/BertMultiHateSpeech/resolve/main/training_args.bin
- Command line
-
hf download hf://GioReg/BertMultiHateSpeech/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/GioReg/BertMultiHateSpeech/resolve/main/training_args.bin
3.06 kB
- Xet hash:
- e71ab92f4cacaf09cb374ee1e137ef881b6e67ebe15ce72d647b3316fe108106
- Size of remote file:
- 3.06 kB
- SHA256:
- ebf2adbd6ac3a6f54908a59c818d77be1d09206fda8659cca65694e2eea1cba8
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