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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b502710a3aefca9b25a2aa919b63da6315c017afec2a36865efa0d7838bb6832
- Size of remote file:
- 627 Bytes
- SHA256:
- 31a46f3c40ee9e1a0de4282c3d1eea1a62cc46d158eb253cacad9456ec792158
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