Text Classification
Transformers
PyTorch
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use JIWON/bert-base-finetuned-nli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JIWON/bert-base-finetuned-nli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JIWON/bert-base-finetuned-nli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JIWON/bert-base-finetuned-nli") model = AutoModelForSequenceClassification.from_pretrained("JIWON/bert-base-finetuned-nli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7bb012eec51abd15b06cb984642bf6d24fc31203107d23b185d7daf18c1c1adb
- Size of remote file:
- 443 MB
- SHA256:
- 50942353fe4a3d3a02e0495843bd5cf53b6180f3078797669125bd2457adc921
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