Instructions to use choiruzzia/best_berita_bert_model_fold_3 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_3 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_3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("choiruzzia/best_berita_bert_model_fold_3") model = AutoModelForSequenceClassification.from_pretrained("choiruzzia/best_berita_bert_model_fold_3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 509f8ee82c027298c835f8b4f1bee212a7eceb2b06b411a140d6681a8e991796
- Size of remote file:
- 5.18 kB
- SHA256:
- 5b71998df1c6a278ae9c5efafcf79d176db3599bd9751bd495a32cd39029e23e
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