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:
- cd172a153b68e9ed300dec0b4ecbc64fac5551f07731cf43c426ef6f235ae061
- Size of remote file:
- 5.11 kB
- SHA256:
- fbd6e0ec3961cc6b36f80b9195086507a36696f6436b5d38d2c4ded5a6479df7
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