Instructions to use MatteoFasulo/twitter-roberta-base-hate_69 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MatteoFasulo/twitter-roberta-base-hate_69 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MatteoFasulo/twitter-roberta-base-hate_69")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MatteoFasulo/twitter-roberta-base-hate_69") model = AutoModelForSequenceClassification.from_pretrained("MatteoFasulo/twitter-roberta-base-hate_69") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df9b8e03db52247e49330aa3983e13a2142db8cf608ee492c83b35bfe8051a99
- Size of remote file:
- 5.3 kB
- SHA256:
- 6f2f20ae5176467ca114a96e09a4df54f42a7649f9823622643dd38bc2c5d8db
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