Instructions to use waelChafei/bertuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use waelChafei/bertuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="waelChafei/bertuned")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("waelChafei/bertuned") model = AutoModelForSequenceClassification.from_pretrained("waelChafei/bertuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload 2 files
Verified signatured1c59a8 -
Rename tokenizer_config (1).json to tokenizer_config.json
Verified signature417b123 -
Rename tokenizer (1).json to tokenizer.json
Verified signature2e810b3 -
Upload 2 files
Verified signaturecd731e3
-
Upload 5 files
Verified signatureb1fae93 -
initial commit
Verified signaturec1d8c51