Instructions to use MatteoFasulo/twitter-roberta-base-hate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MatteoFasulo/twitter-roberta-base-hate with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MatteoFasulo/twitter-roberta-base-hate")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MatteoFasulo/twitter-roberta-base-hate") model = AutoModelForSequenceClassification.from_pretrained("MatteoFasulo/twitter-roberta-base-hate") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 051da853c332cb29e4d2046e3b07613ba8f2cd2a371d87624df77385c47f47a8
- Size of remote file:
- 5.3 kB
- SHA256:
- 11e7953354d89abb9458988d1e15182aeabe31577fb4c17acea9170822ff2f0e
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