Instructions to use choiruzzia/best_berita_bert_model_fold_5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use choiruzzia/best_berita_bert_model_fold_5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="choiruzzia/best_berita_bert_model_fold_5")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("choiruzzia/best_berita_bert_model_fold_5") model = AutoModelForSequenceClassification.from_pretrained("choiruzzia/best_berita_bert_model_fold_5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- badb5d33e1d56ff395bd0698a8439b65bee3c1d91c5839dd7fcb485bda57416c
- Size of remote file:
- 5.18 kB
- SHA256:
- 2c5f18f91f64ed7afa259e49ba59bcd0d94bc5a08954712e2bb602ec6b424d0a
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