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 pytorch_model.bin from GioReg/BertMultiHateSpeech: direct link, hf CLI and curl.
- Browser
- Download file 670 MB
-
https://huggingface.co/GioReg/BertMultiHateSpeech/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://GioReg/BertMultiHateSpeech/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/GioReg/BertMultiHateSpeech/resolve/main/pytorch_model.bin
670 MB
- Xet hash:
- 4e7038d803c923e58c339cc1419ba46f2be6af83ce5a50c1dab00ca38c9ed14b
- Size of remote file:
- 670 MB
- SHA256:
- 0a6c0b9f88e05fdcab085a6cd48363549655696ae07fca70410b33c7401f6cf6
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