Instructions to use piuba-bigdata/beto-contextualized-hate-speech with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use piuba-bigdata/beto-contextualized-hate-speech with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="piuba-bigdata/beto-contextualized-hate-speech")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("piuba-bigdata/beto-contextualized-hate-speech") model = AutoModelForSequenceClassification.from_pretrained("piuba-bigdata/beto-contextualized-hate-speech", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from piuba-bigdata/beto-contextualized-hate-speech: direct link, hf CLI and curl.
- Browser
- Download file 440 MB
-
https://huggingface.co/piuba-bigdata/beto-contextualized-hate-speech/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://piuba-bigdata/beto-contextualized-hate-speech/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/piuba-bigdata/beto-contextualized-hate-speech/resolve/main/pytorch_model.bin
440 MB
- Xet hash:
- 563c6112646028ee5dfab17b2aa9f1993954fa7f05d7d935ca9a4c7cbc4dac14
- Size of remote file:
- 440 MB
- SHA256:
- 376b04a72b67f19f64cda21e8b540866d63089520b2f1d35e52c32ae803ab90a
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