Instructions to use mllm-dev/merge_diff_data_IMDB_10 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_10 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_10")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mllm-dev/merge_diff_data_IMDB_10") model = AutoModelForSequenceClassification.from_pretrained("mllm-dev/merge_diff_data_IMDB_10") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fa5d065dc3c75e3da14a1a07d502cbdc42e07eb11bff4234e8ac9a004609074d
- Size of remote file:
- 498 MB
- SHA256:
- e3bb956cd304fc8bc7ac1b2ad997f4afc645e274df70bdb18129cf3d93e8d5de
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