Instructions to use henryscheible/stereoset_binary_bert_classifieronly_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use henryscheible/stereoset_binary_bert_classifieronly_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="henryscheible/stereoset_binary_bert_classifieronly_2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("henryscheible/stereoset_binary_bert_classifieronly_2") model = AutoModelForSequenceClassification.from_pretrained("henryscheible/stereoset_binary_bert_classifieronly_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2aaaea3ac71e4dcc13cd45a20bb8a5df5832b72cc3a6671d5fdbe7d0880d3456
- Size of remote file:
- 438 MB
- SHA256:
- 7a4aef2003f33fde7afb1d806d0a09e87929223c4650c7c883c58410396cdbd2
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