Text Classification
Transformers
PyTorch
English
bert
Generated from Trainer
text-embeddings-inference
Instructions to use TehranNLP-org/bert-large-hateXplain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TehranNLP-org/bert-large-hateXplain with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TehranNLP-org/bert-large-hateXplain")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TehranNLP-org/bert-large-hateXplain") model = AutoModelForSequenceClassification.from_pretrained("TehranNLP-org/bert-large-hateXplain") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f80c47b8e7367d63c58eec93ea19c3f00bcb7490d7b13a77519f6b03be362292
- Size of remote file:
- 1.34 GB
- SHA256:
- 088839f296d604b004c6520157d96ec6b7cf4d8247f65d2e858cb76eabd26dd2
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