Instructions to use mrmorenom/BERT-5Class-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrmorenom/BERT-5Class-Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mrmorenom/BERT-5Class-Classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mrmorenom/BERT-5Class-Classification") model = AutoModelForSequenceClassification.from_pretrained("mrmorenom/BERT-5Class-Classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a4a403ae7c55b096a0d86a0b6c74cf8e7fac711490186e3daf3a90ed5b12e460
- Size of remote file:
- 473 MB
- SHA256:
- fd374645f5fea0af9a3d10b45ec7ee20ec1cc6db3198d8d02813903359721c06
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