Instructions to use mllm-dev/merge_diff_data_IMDB with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mllm-dev/merge_diff_data_IMDB with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mllm-dev/merge_diff_data_IMDB")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mllm-dev/merge_diff_data_IMDB") model = AutoModelForSequenceClassification.from_pretrained("mllm-dev/merge_diff_data_IMDB") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b1f43fd118880074c7d386cdad6c121aae4084696b75b4039348915744bfc2a7
- Size of remote file:
- 4.54 kB
- SHA256:
- e44e052061640a12a1c68cc309380de7e456987041221f8c311c1538cf1561d2
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