Instructions to use fklska/bert-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fklska/bert-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="fklska/bert-imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("fklska/bert-imdb") model = AutoModelForSequenceClassification.from_pretrained("fklska/bert-imdb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b7a7b323d3251c79be88a7587fb30ecb09a0ad89a8b90320aec2a75ee6388fc
- Size of remote file:
- 5.2 kB
- SHA256:
- cc8477adaa02c60568e8de40e8e1e3a7d7304222884503de562616e163ed04d6
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