Instructions to use AyoubChLin/BART_Company_Documents_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AyoubChLin/BART_Company_Documents_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AyoubChLin/BART_Company_Documents_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AyoubChLin/BART_Company_Documents_classifier") model = AutoModelForSequenceClassification.from_pretrained("AyoubChLin/BART_Company_Documents_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ca7ccb941ecad7bcb89f8cdd36c7b64a90ae5a3895ab3b33c59a6f24827e435
- Size of remote file:
- 1.63 GB
- SHA256:
- aa157ac0932178fcd2ea74e117524208cacc1701bc7f3c0d62bdf90cff96fca6
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