Instructions to use choiruzzia/22best_berita_bert_model_fold_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use choiruzzia/22best_berita_bert_model_fold_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="choiruzzia/22best_berita_bert_model_fold_2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("choiruzzia/22best_berita_bert_model_fold_2") model = AutoModelForSequenceClassification.from_pretrained("choiruzzia/22best_berita_bert_model_fold_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3064cea5b1554b8600ba6f37d155e084800a17ecdb4d93a6c052b792464e228a
- Size of remote file:
- 5.18 kB
- SHA256:
- 503fd33b5dc7fabe824027458b444f1e897081ec097d7544cca3de67f00d51d8
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