Instructions to use institutogloria/hate-pt-tweet-binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use institutogloria/hate-pt-tweet-binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="institutogloria/hate-pt-tweet-binary")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("institutogloria/hate-pt-tweet-binary") model = AutoModelForSequenceClassification.from_pretrained("institutogloria/hate-pt-tweet-binary") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f5a40849290a88af2e96a8f2f2eb8ee60cb55556afe0b48a0ec6705313f6caa4
- Size of remote file:
- 436 MB
- SHA256:
- 73964d249505bfe086e5263514b02c7ddbd24435f2158e31873e832b5ca82cbc
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