Instructions to use TehranNLP-org/electra-base-hateXplain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TehranNLP-org/electra-base-hateXplain with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TehranNLP-org/electra-base-hateXplain")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TehranNLP-org/electra-base-hateXplain") model = AutoModelForSequenceClassification.from_pretrained("TehranNLP-org/electra-base-hateXplain", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd542bad36560c0ec6f290183b0fa96ec0aeadd4feb413af7db9a391abb6c521
- Size of remote file:
- 3.12 kB
- SHA256:
- c76ce4485b64a5702a8ce31c3289572d54aa1f7a4c942883f18cf217dec8fd48
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