Instructions to use henryscheible/stereoset_binary_bert_classifieronly_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use henryscheible/stereoset_binary_bert_classifieronly_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="henryscheible/stereoset_binary_bert_classifieronly_1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("henryscheible/stereoset_binary_bert_classifieronly_1") model = AutoModelForSequenceClassification.from_pretrained("henryscheible/stereoset_binary_bert_classifieronly_1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload contribs-100.txt with huggingface_hub
8d92d80
-
Upload contribs-100.txt with huggingface_hub
57a1547
-
Upload tokenizer
5298a51 -
Upload BertForSequenceClassification
3124670 -
Upload validation.json with huggingface_hub
be65579 -
initial commit
72961c2