Instructions to use henryscheible/stereoset_binary_roberta-large_classifieronly with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use henryscheible/stereoset_binary_roberta-large_classifieronly with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="henryscheible/stereoset_binary_roberta-large_classifieronly")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("henryscheible/stereoset_binary_roberta-large_classifieronly") model = AutoModelForSequenceClassification.from_pretrained("henryscheible/stereoset_binary_roberta-large_classifieronly", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
2ee6e1c | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:6b279f6c72f060aa8c9ecc8590ddfb693efaec645e6e0b0129b89954fe79a2e5
size 1421578861
|