Instructions to use 3oclock/distilbert-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 3oclock/distilbert-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="3oclock/distilbert-imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("3oclock/distilbert-imdb") model = AutoModelForSequenceClassification.from_pretrained("3oclock/distilbert-imdb") - Notebooks
- Google Colab
- Kaggle
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This is the model card for a fine-tuned 🤗 transformers model on the IMDb dataset.
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- **Developed by:**
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- **Model type:** DistilBERT for Sequence Classification
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- **Language(s) (NLP):** English
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- **License:** [Specify License, e.g., Apache 2.0]
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This is the model card for a fine-tuned 🤗 transformers model on the IMDb dataset.
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- **Developed by:** Ge Li
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- **Model type:** DistilBERT for Sequence Classification
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- **Language(s) (NLP):** English
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- **License:** [Specify License, e.g., Apache 2.0]
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