Instructions to use warrior1127/hate_bert_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use warrior1127/hate_bert_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="warrior1127/hate_bert_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("warrior1127/hate_bert_model") model = AutoModelForSequenceClassification.from_pretrained("warrior1127/hate_bert_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
b818299 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:a16fa1504b7d8fbf8434aeeec12111ffc1e5c3060d67c04e63607540302e7460
size 3387
|