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:
- a6ff09b2a6968ffc143e861d6aa38746d4cf0333b4b916e53fbe66248b1c563d
- Size of remote file:
- 498 MB
- SHA256:
- dec8db03fe73371edc0e09ebd97b6b25811c3d5e255424a5728ebd9f9e1df7f6
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