Instructions to use crcb/imp_hatred with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use crcb/imp_hatred with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="crcb/imp_hatred")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("crcb/imp_hatred") model = AutoModelForSequenceClassification.from_pretrained("crcb/imp_hatred", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f16ef6303166b3cb682637bbcfd628e82712a99e9c0acb7067986fc5acbd7381
- Size of remote file:
- 499 MB
- SHA256:
- f4b7dc507fc971b19e1ecebc9795e25af943c7f57519794544f2cffde4d21dbb
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