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:
- 155e73f6d8956e9c83880d187509461ce8206b6ab2d831d61283611cafb0c2b6
- Size of remote file:
- 996 MB
- SHA256:
- 5f77d24666bd139c38f5b9106bdbb6102e20af869be5d6c483a40f6019093097
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