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
File size: 129 Bytes
415d7a5 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:910ccaf4cfd72350930037d4ca1e9f4ffe82dc91d9f17f23b1850617bf95355e
size 5920
|