Instructions to use danielcd99/BERT_imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use danielcd99/BERT_imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="danielcd99/BERT_imdb")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("danielcd99/BERT_imdb") model = AutoModelForSequenceClassification.from_pretrained("danielcd99/BERT_imdb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Upload rotten_tomatos.csv (#2)
Verified signature- Upload rotten_tomatos.csv (f83516e8b37ce3edba42d798e9c85ea088e89016) Co-authored-by: Andre Guarnier De Mitri <AndreMitri@users.noreply.huggingface.co>d259ef1
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Adicionando Imagens, notebboks explicativos e os dados (#1)
Verified signature- Adicionando Imagens, notebboks explicativos e os dados (613102ef57229f47b30268f8394eed6a01e9d53a) Co-authored-by: Andre Guarnier De Mitri <AndreMitri@users.noreply.huggingface.co>aa0f1d9