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:
- 36d59c2692b5913a35772d25bd417c1ed75f03e0849d45f44a05a3e4ba8db6a8
- Size of remote file:
- 498 MB
- SHA256:
- 4505d9e161b96ac66590fd840933522c25edbfaa97405896e6cbb2a06b72464d
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