Instructions to use crcb/imp_hatred_f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use crcb/imp_hatred_f with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="crcb/imp_hatred_f")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("crcb/imp_hatred_f") model = AutoModelForSequenceClassification.from_pretrained("crcb/imp_hatred_f", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fee32f82a7e2b04589de8b6bf14d4e8b3e2d7491c2cdaeb126690f8758b95237
- Size of remote file:
- 5.92 kB
- SHA256:
- 910ccaf4cfd72350930037d4ca1e9f4ffe82dc91d9f17f23b1850617bf95355e
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