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:
- 7c41b39b9c3c2b2f12a884da4eff4a8c5fc933622378284e8843bd02816290b6
- Size of remote file:
- 498 MB
- SHA256:
- 50230968ca29b09eebae846acf7a4281caaa9e62dafb7ae34d151e3534498c20
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