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:
- fde8949e3156842e181f14868ebca2b0902bf5ab8f1be6eb0edb3f28215147a0
- Size of remote file:
- 498 MB
- SHA256:
- d8649ab5dc3b752ee3d6981d4c0b12089ef230a56a528819eacd42393c8ef318
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.