Instructions to use celise88/distilbert-base-uncased-finetuned-binary-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use celise88/distilbert-base-uncased-finetuned-binary-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="celise88/distilbert-base-uncased-finetuned-binary-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("celise88/distilbert-base-uncased-finetuned-binary-classifier") model = AutoModelForSequenceClassification.from_pretrained("celise88/distilbert-base-uncased-finetuned-binary-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
Upload pytorch_model.bin with huggingface_hub 58b217c
Upload training_args.bin with huggingface_hub 978dad0
Upload vocab.txt with huggingface_hub f6f3d12
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Upload special_tokens_map.json with huggingface_hub 96c3b82
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initial commit 853b4a7
Caitlin Blackmore commited on