Instructions to use Hugging-GK/ModerBert-MultiClass-IMDB-imdb_complete_data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hugging-GK/ModerBert-MultiClass-IMDB-imdb_complete_data with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Hugging-GK/ModerBert-MultiClass-IMDB-imdb_complete_data")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Hugging-GK/ModerBert-MultiClass-IMDB-imdb_complete_data") model = AutoModelForSequenceClassification.from_pretrained("Hugging-GK/ModerBert-MultiClass-IMDB-imdb_complete_data", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ee87a1dfa59fce80c5f3724414085290ab55ab891bc1e9ea7f4e4166e6e5864
- Size of remote file:
- 598 MB
- SHA256:
- 3e5523c13c191767349c930f3e03c43010c2e87866beeb3f5a23053f96bc39ff
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